In [1]:
import pandas as pd
import pickle as pkl
from tqdm import tqdm
import re

# packages required for NLTK and others
import nltk
from nltk.corpus import stopwords
from nltk import tokenize, stem
from tensorflow.keras.preprocessing.text import Tokenizer
import numpy as np
import re
import string
from nltk.probability import FreqDist
from nltk.tokenize import word_tokenize
from nltk.stem import WordNetLemmatizer
import contractions
import os
from collections import Counter
In [2]:
df = pd.read_csv('./Data Mining Assignment #2/train_data.csv')
df = df.groupby("Type").sample(n=1000, random_state=1)

df.head()
Out[2]:
New_Sentence Type
44744 YOU MUST HAVEBachelors Degree in a technical (... Education
38022 Exposure to all stages of the software lifecy... Education
19633 his is a dummy block of text And this is repre... Education
24126 HTSIND2022 Bachelors/Masters degree in Electr... Education
45257 BS/BA/Masters degree in engineering, science ... Education
In [3]:
# Text pre-processing
# stopwords = nltk.corpus.stopwords.words('english')

df['New_Sentence'] = df['New_Sentence'].astype(str)

# Convert text to lowercase
df['New_Sentence'] = df['New_Sentence'].apply(lambda x: x.lower())

# df['New_Sentence'] = df['New_Sentence'].apply(lambda x: ' '.join([word for word in x.split() if word not in (stopwords)]))

df['New_Sentence'] = df['New_Sentence'].str.replace(r'[^a-zA-Z.,!?/:;\"\'\s]', "")

# Replace empty strings with Null
df['New_Sentence'].replace('', np.nan, inplace = True)

df['New_Sentence'] = df['New_Sentence'].str.replace('[^\w\s]','')

# Drop Null values
df = df.dropna()
C:\Users\M61\Anaconda3\envs\myenv\lib\site-packages\ipykernel_launcher.py:11: FutureWarning: The default value of regex will change from True to False in a future version.
  # This is added back by InteractiveShellApp.init_path()
C:\Users\M61\Anaconda3\envs\myenv\lib\site-packages\ipykernel_launcher.py:16: FutureWarning: The default value of regex will change from True to False in a future version.
  app.launch_new_instance()
In [4]:
df.head()
Out[4]:
New_Sentence Type
44744 you must havebachelors degree in a technical i... Education
38022 exposure to all stages of the software lifecy... Education
19633 his is a dummy block of text and this is repre... Education
24126 htsind bachelorsmasters degree in electricale... Education
45257 bsbamasters degree in engineering science or ... Education
In [5]:
# splitting the data into three sets
train, dev, test = \
              np.split(df.sample(frac=1, random_state=42), 
                       [int(.6*len(df)), int(.8*len(df))])
In [6]:
# checking the shape of each set
train.shape, dev.shape, test.shape
Out[6]:
((3600, 2), (1200, 2), (1200, 2))
In [7]:
train['Type'].nunique(), dev['Type'].nunique(), test['Type'].nunique()
Out[7]:
(6, 6, 6)
In [8]:
def tokenize(string):
    return re.compile('\w+').findall(string)


def word_freq(string): 
    text = tokenize(string.lower())
    c = Counter(text)           # count the words
    return (c, dict(c))    # return a tuple of counted words and letters

c, words = word_freq(' '.join(map(str, df['New_Sentence']))) # count and get dicts with counts

sumWords = sum(words.values())       # sum total words

# calc / print probability of word
for w in words:
    print("Probability of '{}': {}".format(w, words[w]/sumWords))
Probability of 'you': 0.002697245272451251
Probability of 'must': 0.0025793329108140376
Probability of 'havebachelors': 0.0003684761301162911
Probability of 'degree': 0.009713030789865433
Probability of 'in': 0.03134994915029404
Probability of 'a': 0.014370569074535352
Probability of 'technical': 0.0038174127080047755
Probability of 'it': 0.001857119695786107
Probability of 'or': 0.016581425855233096
Probability of 'business': 0.007222132150279305
Probability of 'field': 0.0025056376847907794
Probability of 'exposure': 0.0003537370849116394
Probability of 'to': 0.023626689463056582
Probability of 'all': 0.0014149483396465577
Probability of 'stages': 8.843427122790986e-05
Probability of 'of': 0.029183309505210253
Probability of 'the': 0.017112031482600557
Probability of 'software': 0.0029772871313396318
Probability of 'lifecycle': 0.0004274323109348976
Probability of 'including': 0.0023435081875396112
Probability of 'requirements': 0.0019750320574233203
Probability of 'gathering': 0.00023582472327442628
Probability of 'documentation': 0.0005453446725721108
Probability of 'approach': 0.0002947809040930328
Probability of 'functional': 0.001120167435553525
Probability of 'specification': 8.843427122790986e-05
Probability of 'detailed': 0.0002653028136837296
Probability of 'design': 0.0028741138149070704
Probability of 'his': 0.0011643845711674797
Probability of 'is': 0.005571359087358321
Probability of 'dummy': 0.0011349064807581765
Probability of 'block': 0.0011496455259628281
Probability of 'text': 0.0011791236163721313
Probability of 'and': 0.05163087535189471
Probability of 'this': 0.002137161554674488
Probability of 'representing': 0.0011496455259628281
Probability of 'nothing': 0.0011349064807581765
Probability of 'htsind': 1.4739045204651643e-05
Probability of 'bachelorsmasters': 7.36952260232582e-05
Probability of 'electricalelectronic': 1.4739045204651643e-05
Probability of 'engineering': 0.008754992851563075
Probability of 'bsbamasters': 1.4739045204651643e-05
Probability of 'science': 0.0033605023066605746
Probability of 'advanced': 0.0012233407519860863
Probability of 'management': 0.007413739737939776
Probability of 'preferred': 0.0023435081875396112
Probability of 'diploma': 0.0005306056273674592
Probability of 'computer': 0.0029920261765442836
Probability of 'electronics': 0.0006779960794139755
Probability of 'information': 0.0018423806505814553
Probability of 'technology': 0.0021224225094698367
Probability of 'related': 0.003080460447772193
Probability of 'disciplines': 0.0001473904520465164
Probability of 'such': 0.0016802511533302873
Probability of 'as': 0.005291317228469939
Probability of 'process': 0.0022845520067210044
Probability of 'indicative': 1.4739045204651643e-05
Probability of 'qualifications': 0.0004274323109348976
Probability of 'only': 5.895618081860657e-05
Probability of 'candidates': 0.00028004185888838123
Probability of 'with': 0.016625642990847053
Probability of 'greater': 7.36952260232582e-05
Probability of 'years': 0.01319144545816322
Probability of 'experience': 0.02476159594381476
Probability of 'demonstrated': 0.0011054283903488731
Probability of 'capabilities': 0.0002947809040930328
Probability of 'andor': 0.0014739045204651643
Probability of 'readiness': 1.4739045204651643e-05
Probability of 'lieu': 0.00023582472327442628
Probability of 'will': 0.002653028136837296
Probability of 'be': 0.003463675623093136
Probability of 'considered': 0.00011791236163721314
Probability of 'well': 0.0009432988930977051
Probability of 'human': 0.0003242589945023361
Probability of 'resources': 0.0004274323109348976
Probability of 'certifications': 0.0003537370849116394
Probability of 'required': 0.0020339882382419266
Probability of 'no': 7.36952260232582e-05
Probability of 'rpa': 8.843427122790986e-05
Probability of 'tool': 0.0005011275369581559
Probability of 'certification': 0.001400209294441906
Probability of 'blue': 2.9478090409303285e-05
Probability of 'prism': 2.9478090409303285e-05
Probability of 'accredited': 0.0005306056273674592
Probability of 'developer': 0.00044217135613954927
Probability of 'ad': 1.4739045204651643e-05
Probability of 'professional': 0.0008843427122790985
Probability of 'apd': 1.4739045204651643e-05
Probability of 'pega': 0.00010317331643256149
Probability of 'certified': 0.0003684761301162911
Probability of 'robotics': 2.9478090409303285e-05
Probability of 'system': 0.0016360340177163323
Probability of 'architect': 0.0002653028136837296
Probability of 'preferably': 0.0007074741698232788
Probability of 'systems': 0.003493153713502439
Probability of 'fields': 0.0001768685424558197
Probability of 'equivalent': 0.0019160758766047135
Probability of 'vue': 1.4739045204651643e-05
Probability of 'js': 7.36952260232582e-05
Probability of 'compliance': 0.0007516913054372337
Probability of 'honeywell': 0.0008990817574837502
Probability of 'policies': 0.00022108567806977463
Probability of 'hse': 0.00025056376847907793
Probability of 'hr': 0.0004569104013442009
Probability of 'legal': 0.00010317331643256149
Probability of 'intellectual': 2.9478090409303285e-05
Probability of 'property': 5.895618081860657e-05
Probability of 'protection': 7.36952260232582e-05
Probability of 'integrity': 0.0001768685424558197
Probability of 'codes': 5.895618081860657e-05
Probability of 'conduct': 0.00022108567806977463
Probability of 'abgeschlossenes': 4.421713561395493e-05
Probability of 'studium': 4.421713561395493e-05
Probability of 'der': 0.00039795422052559437
Probability of 'ingenieurwissenschaften': 1.4739045204651643e-05
Probability of 'fachrichtung': 2.9478090409303285e-05
Probability of 'verfahrenstechnik': 2.9478090409303285e-05
Probability of 'oder': 0.0002653028136837296
Probability of 'chemieingenieurwesen': 1.4739045204651643e-05
Probability of 'bachelors': 0.005320795318879243
Probability of 'high': 0.0012233407519860863
Probability of 'school': 0.0003537370849116394
Probability of 'general': 0.0003832151753209427
Probability of 'education': 0.0005600837177767625
Probability of 'wireless': 7.36952260232582e-05
Probability of 'engineer': 0.0005158665821628075
Probability of 'responsible': 0.0007959084410511887
Probability of 'for': 0.007030524562618833
Probability of 'guaranteeing': 1.4739045204651643e-05
Probability of 'mobility': 5.895618081860657e-05
Probability of 'products': 0.0010464722095302667
Probability of 'comply': 2.9478090409303285e-05
Probability of 'regulatory': 0.00023582472327442628
Probability of 'country': 2.9478090409303285e-05
Probability of 'cellular': 1.4739045204651643e-05
Probability of 'network': 0.0005748227629814141
Probability of 'carrier': 1.4739045204651643e-05
Probability of 'intended': 2.9478090409303285e-05
Probability of 'markets': 0.00020634663286512298
Probability of 'basic': 0.0005453446725721108
Probability of 'finance': 0.0012970359780093445
Probability of 'accounting': 0.0006927351246186273
Probability of 'closely': 0.0004569104013442009
Probability of 'major': 0.00025056376847907793
Probability of 'designation': 1.4739045204651643e-05
Probability of 'application': 0.001238079797190738
Probability of 'sr': 0.00022108567806977463
Probability of 'engineeringelectronicphysics': 1.4739045204651643e-05
Probability of 'associate': 0.00020634663286512298
Probability of 'bachelor': 0.0007664303506418854
Probability of 'mechanical': 0.0012675578876000413
Probability of 'aerospace': 0.0007369522602325821
Probability of 'certificacixfn': 4.421713561395493e-05
Probability of 'en': 0.0006043008533907174
Probability of 'green': 0.00028004185888838123
Probability of 'belt': 0.0003684761301162911
Probability of 'lean': 0.0002653028136837296
Probability of 'manufacturing': 0.0012675578876000413
Probability of 'have': 0.0025793329108140376
Probability of 'minimum': 0.003065721402567542
Probability of 'completed': 0.0001768685424558197
Probability of 'bsc': 4.421713561395493e-05
Probability of 'equal': 1.4739045204651643e-05
Probability of 'welcome': 1.4739045204651643e-05
Probability of 'day': 0.0001326514068418648
Probability of 'buddy': 2.9478090409303285e-05
Probability of 'program': 0.0013412531136232995
Probability of 'new': 0.001326514068418648
Probability of 'joiners': 2.9478090409303285e-05
Probability of 'monthly': 0.00022108567806977463
Probability of 'get': 0.00025056376847907793
Probability of 'together': 5.895618081860657e-05
Probability of 'relaxed': 1.4739045204651643e-05
Probability of 'atmosphere': 2.9478090409303285e-05
Probability of 'statistics': 0.00020634663286512298
Probability of 'applied': 0.00022108567806977463
Probability of 'mathematics': 0.00016212949725116806
Probability of 'master': 0.000619039898595369
Probability of 'job': 0.0007074741698232788
Probability of 'ged': 0.0001326514068418648
Probability of 'any': 0.0007369522602325821
Probability of 'electrical': 0.0015918168821023775
Probability of 'security': 0.0016802511533302873
Probability of 'pursuing': 7.36952260232582e-05
Probability of 'masters': 0.0012528188423953897
Probability of 'technische': 4.421713561395493e-05
Probability of 'ausbildung': 8.843427122790986e-05
Probability of 'zb': 1.4739045204651643e-05
Probability of 'elektroniker': 1.4739045204651643e-05
Probability of 'fxfcr': 0.0001326514068418648
Probability of 'ger': 1.4739045204651643e-05
Probability of 'und': 0.0007074741698232788
Probability of 'systeme': 1.4739045204651643e-05
Probability of 'vergleichbare': 5.895618081860657e-05
Probability of 'mit': 7.36952260232582e-05
Probability of 'relevanter': 1.4739045204651643e-05
Probability of 'min': 0.00023582472327442628
Probability of 'name': 0.0001473904520465164
Probability of 'phd': 0.0003242589945023361
Probability of 'materials': 0.0004569104013442009
Probability of 'physics': 0.0003389980397069878
Probability of 'six': 0.0004569104013442009
Probability of 'sigma': 0.0004274323109348976
Probability of 'mba': 0.0005895618081860657
Probability of 'requirement': 0.0002947809040930328
Probability of 'coordination': 0.00020634663286512298
Probability of 'maintaining': 0.0002653028136837296
Probability of 'traceability': 4.421713561395493e-05
Probability of 'matrix': 0.0001768685424558197
Probability of 'we': 0.0009727769835070084
Probability of 'valuemasters': 2.9478090409303285e-05
Probability of 'ittechnical': 2.9478090409303285e-05
Probability of 'an': 0.0036552832107536073
Probability of 'emphasis': 0.0001768685424558197
Probability of 'on': 0.005143926776423423
Probability of 'hardware': 0.0006337789438000207
Probability of 'quality': 0.0012233407519860863
Probability of 'background': 0.0006043008533907174
Probability of 'nan': 0.0015475997464884225
Probability of 'hold': 0.00011791236163721314
Probability of 'above': 0.0002947809040930328
Probability of 'chemical': 0.0006927351246186273
Probability of 'economics': 0.00019160758766047136
Probability of 'other': 0.0019602930122186685
Probability of 'highly': 0.000663257034209324
Probability of 'analytical': 0.0012233407519860863
Probability of 'tech': 0.00020634663286512298
Probability of 'debt': 1.4739045204651643e-05
Probability of 'area': 0.0005158665821628075
Probability of 'btech': 8.843427122790986e-05
Probability of 'stem': 0.0001473904520465164
Probability of 'itil': 0.00010317331643256149
Probability of 'educationcertifications': 4.421713561395493e-05
Probability of 'cissp': 8.843427122790986e-05
Probability of 'csslp': 5.895618081860657e-05
Probability of 'ceh': 4.421713561395493e-05
Probability of 'administration': 0.0007222132150279304
Probability of 'educationtrainingwork': 1.4739045204651643e-05
Probability of 'safety': 0.0005158665821628075
Probability of 'fscsm': 1.4739045204651643e-05
Probability of 'banking': 0.00011791236163721314
Probability of 'corporate': 0.00023582472327442628
Probability of 'applications': 0.001311775023213996
Probability of 'like': 0.0009727769835070084
Probability of 'payments': 7.36952260232582e-05
Probability of 'swift': 4.421713561395493e-05
Probability of 'account': 0.00044217135613954927
Probability of 'transfer': 8.843427122790986e-05
Probability of 'telegraphic': 1.4739045204651643e-05
Probability of 'rtgs': 1.4739045204651643e-05
Probability of 'incomingoutgoing': 1.4739045204651643e-05
Probability of 'payroll': 5.895618081860657e-05
Probability of 'cheques': 1.4739045204651643e-05
Probability of 'fast': 0.0001768685424558197
Probability of 'giro': 1.4739045204651643e-05
Probability of 'chemistry': 0.00023582472327442628
Probability of 'data': 0.0036552832107536073
Probability of 'control': 0.001326514068418648
Probability of 'theory': 7.36952260232582e-05
Probability of 'pmp': 0.0003095199492976845
Probability of 'csm': 5.895618081860657e-05
Probability of 'good': 0.002225595825902398
Probability of 'but': 0.0003389980397069878
Probability of 'optional': 1.4739045204651643e-05
Probability of 'electricalsystemscomputer': 1.4739045204651643e-05
Probability of 'mis': 8.843427122790986e-05
Probability of 'combination': 0.00019160758766047136
Probability of 'salesforce': 0.0003389980397069878
Probability of 'marketing': 0.0011643845711674797
Probability of 'key': 0.001282296932804693
Probability of 'responsibilities': 0.0004569104013442009
Probability of 'perform': 0.0004274323109348976
Probability of 'review': 0.00041269326573024597
Probability of 'acceptability': 1.4739045204651643e-05
Probability of 'destructive': 1.4739045204651643e-05
Probability of 'physical': 0.00022108567806977463
Probability of 'analysis': 0.001532860701283771
Probability of 'dpa': 1.4739045204651643e-05
Probability of 'accordance': 7.36952260232582e-05
Probability of 'military': 8.843427122790986e-05
Probability of 'specifications': 0.0002947809040930328
Probability of 'eg': 0.0007074741698232788
Probability of 'milstd': 1.4739045204651643e-05
Probability of 'studies': 0.00016212949725116806
Probability of 'from': 0.0017097292437395905
Probability of 'abet': 0.00025056376847907793
Probability of 'associates': 0.00023582472327442628
Probability of 'computerrelated': 2.9478090409303285e-05
Probability of 'work': 0.004804928736716435
Probability of 'jstd': 1.4739045204651643e-05
Probability of 'valuedegree': 2.9478090409303285e-05
Probability of 'industries': 0.00025056376847907793
Probability of 'consulting': 0.000663257034209324
Probability of 'top': 0.0001326514068418648
Probability of 'firm': 0.0001768685424558197
Probability of 'combined': 7.36952260232582e-05
Probability of 'bb': 0.00020634663286512298
Probability of 'industrial': 0.000663257034209324
Probability of 'diversified': 4.421713561395493e-05
Probability of 'dfss': 2.9478090409303285e-05
Probability of 'businessfinanceengineering': 1.4739045204651643e-05
Probability of 'bevorzugt': 2.9478090409303285e-05
Probability of 'region': 0.0001768685424558197
Probability of 'bw': 4.421713561395493e-05
Probability of 'by': 0.0011643845711674797
Probability of 'electricalcomputermechanical': 1.4739045204651643e-05
Probability of 'math': 0.00016212949725116806
Probability of 'etc': 0.0014591654752605127
Probability of 'diplom': 1.4739045204651643e-05
Probability of 'ingenieur': 1.4739045204651643e-05
Probability of 'tufh': 1.4739045204651643e-05
Probability of 'elektro': 1.4739045204651643e-05
Probability of 'automatisierungstechnik': 1.4739045204651643e-05
Probability of 'vergleichbarer': 2.9478090409303285e-05
Probability of 'ausrichtung': 1.4739045204651643e-05
Probability of 'analyst': 0.00028004185888838123
Probability of 'components': 0.0003242589945023361
Probability of 'team': 0.0036847613011629105
Probability of 'participant': 1.4739045204651643e-05
Probability of 'managing': 0.0009285598478930535
Probability of 'standard': 0.0003242589945023361
Probability of 'quarterly': 4.421713561395493e-05
Probability of 'annual': 0.00020634663286512298
Probability of 'financial': 0.0006779960794139755
Probability of 'processes': 0.0016507730629209839
Probability of 'are': 0.0013412531136232995
Probability of 'currently': 0.0001326514068418648
Probability of 'seeking': 1.4739045204651643e-05
Probability of 'motivated': 0.00016212949725116806
Probability of 'hardworking': 4.421713561395493e-05
Probability of 'individual': 0.0003537370849116394
Probability of 'join': 0.0001326514068418648
Probability of 'our': 0.0006927351246186273
Probability of 'sales': 0.001857119695786107
Probability of 'director': 0.0001768685424558197
Probability of 'enterprise': 0.000619039898595369
Probability of 'hce': 5.895618081860657e-05
Probability of 'based': 0.000619039898595369
Probability of 'dubai': 1.4739045204651643e-05
Probability of 'uae': 1.4739045204651643e-05
Probability of 'discipline': 0.0007664303506418854
Probability of 'delivering': 0.0003095199492976845
Probability of 'client': 0.0011054283903488731
Probability of 'engagements': 8.843427122790986e-05
Probability of 'part': 0.0003389980397069878
Probability of 'individually': 7.36952260232582e-05
Probability of 'subject': 0.00025056376847907793
Probability of 'matter': 0.0001473904520465164
Probability of 'expert': 0.0004863884917535042
Probability of 'intelligent': 4.421713561395493e-05
Probability of 'automation': 0.001238079797190738
Probability of 'largescale': 0.00010317331643256149
Probability of 'digital': 0.000619039898595369
Probability of 'transformational': 4.421713561395493e-05
Probability of 'change': 0.000781169395846537
Probability of 'bacharelado': 1.4739045204651643e-05
Probability of 'equivalente': 4.421713561395493e-05
Probability of 'ou': 0.00019160758766047136
Probability of 'de': 0.001562338791693074
Probability of 'ensino': 1.4739045204651643e-05
Probability of 'mo': 4.421713561395493e-05
Probability of 'com': 5.895618081860657e-05
Probability of 'experiia': 4.421713561395493e-05
Probability of 'relevante': 1.4739045204651643e-05
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Probability of 'index': 1.4739045204651643e-05
Probability of 'choice': 1.4739045204651643e-05
Probability of 'compression': 1.4739045204651643e-05
Probability of 'facilitates': 1.4739045204651643e-05
Probability of 'highpriority': 1.4739045204651643e-05
Probability of 'polished': 1.4739045204651643e-05
Probability of 'presenter': 1.4739045204651643e-05
Probability of 'visionary': 1.4739045204651643e-05
Probability of 'schneller': 1.4739045204651643e-05
Probability of 'lernerin': 1.4739045204651643e-05
Probability of 'anpassungsfg': 1.4739045204651643e-05
Probability of 'wenn': 1.4739045204651643e-05
Probability of 'neue': 1.4739045204651643e-05
Probability of 'prozesse': 1.4739045204651643e-05
Probability of 'konzepte': 1.4739045204651643e-05
Probability of 'eingeft': 1.4739045204651643e-05
Probability of 'werden': 1.4739045204651643e-05
Probability of 'scientists': 1.4739045204651643e-05
Probability of 'technicians': 1.4739045204651643e-05
Probability of 'associatesmanagers': 1.4739045204651643e-05
Probability of 'resilience': 1.4739045204651643e-05
Probability of 'importantly': 1.4739045204651643e-05
Probability of 'selfdisciplined': 1.4739045204651643e-05
Probability of 'roll': 1.4739045204651643e-05
Probability of 'sleeves': 1.4739045204651643e-05
Probability of 'dependability': 1.4739045204651643e-05
Probability of 'trainingpresentation': 1.4739045204651643e-05
Probability of 'allow': 1.4739045204651643e-05
Probability of 'kreatives': 1.4739045204651643e-05
Probability of 'pragmatisches': 1.4739045204651643e-05
Probability of 'facetoface': 1.4739045204651643e-05
Probability of 'collaborates': 1.4739045204651643e-05
Probability of 'blir': 1.4739045204651643e-05
Probability of 'confiance': 1.4739045204651643e-05
Probability of 'fostering': 1.4739045204651643e-05
Probability of 'airline': 1.4739045204651643e-05
Probability of 'sponsors': 1.4739045204651643e-05
Probability of 'selections': 1.4739045204651643e-05
Probability of 'org': 1.4739045204651643e-05
Probability of 'reportingreviews': 1.4739045204651643e-05
Probability of 'resultsdriven': 1.4739045204651643e-05
Probability of 'selfdriven': 1.4739045204651643e-05
Probability of 'multilingual': 1.4739045204651643e-05
Probability of 'believes': 1.4739045204651643e-05
Probability of 'keys': 1.4739045204651643e-05
Probability of 'damage': 1.4739045204651643e-05
Probability of 'serviceability': 1.4739045204651643e-05
Probability of 'revealed': 1.4739045204651643e-05
Probability of 'difficulties': 1.4739045204651643e-05
Probability of 'repairmodification': 1.4739045204651643e-05
Probability of 'notwendigen': 1.4739045204651643e-05
Probability of 'komponenten': 1.4739045204651643e-05
Probability of 'customerfocused': 1.4739045204651643e-05
Probability of 'devconfig': 1.4739045204651643e-05
Probability of 'lv': 1.4739045204651643e-05
In [9]:
# generate vocabulary

vocab = set({k:v for k,v in words.items() if ((v > 5) and (len(k) > 3))})
len(vocab), vocab
Out[9]:
(1197,
 {'additional',
  'ownership',
  'system',
  'parties',
  'thorough',
  'matter',
  'architect',
  'architectures',
  'java',
  'player',
  'hands',
  'designing',
  'demonstrates',
  'supporting',
  'postsecondary',
  'selling',
  'ideally',
  'word',
  'authority',
  'python',
  'nice',
  'aptitude',
  'assets',
  'resolution',
  'mapping',
  'influencing',
  'servers',
  'support',
  'scale',
  'space',
  'technologies',
  'some',
  'stream',
  'equivalent',
  'longterm',
  'html',
  'sound',
  'which',
  'individual',
  'issues',
  'accuracy',
  'either',
  'specifications',
  'cases',
  'applied',
  'spark',
  'verification',
  'procurement',
  'dummy',
  'tool',
  'visual',
  'concepts',
  'executing',
  'leading',
  'asset',
  'respond',
  'preferably',
  'earned',
  'global',
  'prioritize',
  'leaders',
  'possess',
  'fabrication',
  'continuous',
  'levels',
  'cash',
  'negotiation',
  'lieu',
  'integrated',
  'integrity',
  'least',
  'services',
  'consulting',
  'expectations',
  'certifications',
  'decisions',
  'businesses',
  'drawings',
  'industrial',
  'belt',
  'factory',
  'construction',
  'both',
  'independent',
  'programming',
  'validation',
  'function',
  'make',
  'regular',
  'architecture',
  'supervisory',
  'problems',
  'audits',
  'productivity',
  'disciplines',
  'things',
  'solid',
  'next',
  'businessrelated',
  'evolving',
  'urgency',
  'knowledge',
  'devices',
  'sciences',
  'detail',
  'optimization',
  'significant',
  'academic',
  'components',
  'become',
  'develops',
  'expence',
  'gathering',
  'involving',
  'distribution',
  'creative',
  'scope',
  'goal',
  'center',
  'common',
  'months',
  'vendor',
  'chain',
  'field',
  'line',
  'government',
  'database',
  'jenkins',
  'admin',
  'define',
  'associated',
  'supports',
  'berufserfahrung',
  'oral',
  'nothing',
  'sessions',
  'between',
  'advantage',
  'utilizing',
  'coaching',
  'throughout',
  'case',
  'local',
  'dashboards',
  'incident',
  'proven',
  'overall',
  'document',
  'domain',
  'conduct',
  'risk',
  'organizations',
  'javascript',
  'deals',
  'have',
  'negotiations',
  'salesforce',
  'their',
  'supervision',
  'json',
  'unit',
  'troubleshooting',
  'physical',
  'deep',
  'problem',
  'fast',
  'read',
  'reports',
  'rest',
  'large',
  'certificate',
  'worked',
  'fastpaced',
  'personal',
  'accounts',
  'minimal',
  'when',
  'life',
  'needs',
  'identify',
  'owners',
  'facility',
  'legacy',
  'handling',
  'banking',
  'systems',
  'effectively',
  'endtoend',
  'technically',
  'social',
  'transactions',
  'shipping',
  'databases',
  'this',
  'name',
  'outside',
  'consultant',
  'aerospace',
  'model',
  'certified',
  'handle',
  'positive',
  'regarding',
  'collection',
  'acquisition',
  'german',
  'change',
  'deliverables',
  'keep',
  'stakeholders',
  'analysis',
  'presentations',
  'scripting',
  'review',
  'cloud',
  'influence',
  'response',
  'standard',
  'medium',
  'developing',
  'test',
  'sets',
  'will',
  'interaction',
  'good',
  'results',
  'recognized',
  'conversion',
  'value',
  'health',
  'focused',
  'people',
  'interact',
  'computer',
  'accounting',
  'generation',
  'must',
  'languages',
  'party',
  'itil',
  'growth',
  'professional',
  'same',
  'looking',
  'scrum',
  'graphics',
  'they',
  'proactive',
  'dans',
  'candidates',
  'scalable',
  'three',
  'grow',
  'primary',
  'chemicals',
  'reporting',
  'communications',
  'network',
  'policies',
  'power',
  'efficiently',
  'account',
  'location',
  'vision',
  'objectives',
  'articulate',
  'while',
  'expertise',
  'interface',
  'providing',
  'talent',
  'handson',
  'monitoring',
  'desired',
  'economics',
  'internal',
  'site',
  'execution',
  'energy',
  'office',
  'usability',
  'insurance',
  'exceptional',
  'report',
  'extensive',
  'launch',
  'quickly',
  'proposal',
  'done',
  'selection',
  'roles',
  'skills',
  'specification',
  'stack',
  'managers',
  'modeling',
  'owner',
  'partner',
  'engage',
  'meeting',
  'efficiency',
  'implemented',
  'green',
  'largescale',
  'clearance',
  'custom',
  'deadlines',
  'computing',
  'managing',
  'existing',
  'completed',
  'recovery',
  'request',
  'adherence',
  'demonstrated',
  'junior',
  'math',
  'facilities',
  'military',
  'flow',
  'skill',
  'with',
  'limited',
  'culture',
  'year',
  'electrical',
  'journey',
  'multinational',
  'tasks',
  'engineers',
  'full',
  'injection',
  'challenges',
  'customers',
  'structure',
  'point',
  'study',
  'estimates',
  'adapt',
  'globally',
  'acceptance',
  'into',
  'deliver',
  'onsite',
  'capability',
  'native',
  'setting',
  'members',
  'thinking',
  'operating',
  'address',
  'facilitate',
  'awareness',
  'post',
  'stages',
  'pipeline',
  'offerings',
  'motivate',
  'marketing',
  'from',
  'writing',
  'advantageous',
  'plant',
  'protocols',
  'contracts',
  'analyst',
  'apis',
  'migration',
  'over',
  'privacy',
  'networks',
  'fluency',
  'monitor',
  'familiar',
  'insights',
  'cicd',
  'direction',
  'maintenance',
  'processing',
  'facing',
  'processes',
  'jira',
  'threat',
  'place',
  'events',
  'success',
  'users',
  'drive',
  'such',
  'sales',
  'versed',
  'timelines',
  'audit',
  'variety',
  'platform',
  'determine',
  'executives',
  'term',
  'outcomes',
  'capacity',
  'connected',
  'angular',
  'recruitment',
  'analytical',
  'collaboratively',
  'reading',
  'react',
  'incidents',
  'connaissance',
  'specific',
  'industries',
  'terms',
  'provide',
  'relations',
  'export',
  'compliance',
  'constraints',
  'sensor',
  'electronic',
  'associate',
  'defined',
  'accredited',
  'automated',
  'increase',
  'manufacturing',
  'front',
  'maximize',
  'engagement',
  'engagements',
  'experienced',
  'required',
  'commerce',
  'international',
  'speaking',
  'sprint',
  'vertical',
  'department',
  'status',
  'documents',
  'scheduling',
  'process',
  'experience',
  'controls',
  'backlog',
  'leads',
  'resource',
  'pour',
  'ability',
  'informatica',
  'environments',
  'orders',
  'advanced',
  'master',
  'manner',
  'resolving',
  'engine',
  'changing',
  'delivering',
  'engineer',
  'growing',
  'environment',
  'develop',
  'highly',
  'consistently',
  'following',
  'analytics',
  'tracking',
  'channel',
  'essential',
  'using',
  'build',
  'best',
  'advance',
  'performance',
  'wide',
  'matrixed',
  'manager',
  'cybersecurity',
  'flexibility',
  'transformation',
  'learn',
  'that',
  'time',
  'spanish',
  'like',
  'models',
  'performs',
  'collaborative',
  'basis',
  'oracle',
  'paced',
  'adobe',
  'before',
  'methodologies',
  'considered',
  'clearly',
  'integrating',
  'chemical',
  'down',
  'relational',
  'optimize',
  'specialization',
  'actively',
  'maintain',
  'analyze',
  'control',
  'platforms',
  'security',
  'details',
  'efforts',
  'accurate',
  'inside',
  'above',
  'desire',
  'client',
  'financials',
  'creativity',
  'architecting',
  'requiring',
  'areas',
  'record',
  'person',
  'most',
  'resources',
  'developer',
  'tech',
  'requirements',
  'working',
  'outlook',
  'policy',
  'school',
  'recommendations',
  'forecast',
  'needed',
  'fxfcr',
  'discussions',
  'information',
  'azure',
  'cyber',
  'online',
  'deal',
  'tableau',
  'critical',
  'holders',
  'firm',
  'prepare',
  'assembly',
  'employee',
  'recruiting',
  'cycle',
  'employees',
  'prior',
  'equipment',
  'supply',
  'organization',
  'transition',
  'snowflake',
  'interpret',
  'listening',
  'various',
  'documentation',
  'special',
  'create',
  'frameworks',
  'simulation',
  'powershell',
  'group',
  'instrumentation',
  'learning',
  'mechanical',
  'utilization',
  'selfstarter',
  'involve',
  'need',
  'logistics',
  'commercial',
  'plan',
  'necessary',
  'multitasking',
  'opportunities',
  'work',
  'market',
  'product',
  'proposals',
  'havebachelors',
  'kafka',
  'strategies',
  'comfortable',
  'calls',
  'studies',
  'optical',
  'metal',
  'backend',
  'black',
  'research',
  'oder',
  'assist',
  'range',
  'works',
  'coordination',
  'teams',
  'defining',
  'portfolio',
  'during',
  'tuning',
  'features',
  'tertiary',
  'written',
  'responsibility',
  'passion',
  'operate',
  'legal',
  'area',
  'reliability',
  'understands',
  'satisfaction',
  'abet',
  'agency',
  'innovative',
  'directly',
  'relationship',
  'share',
  'methodology',
  'contractual',
  'follow',
  'polymer',
  'public',
  'programs',
  'safe',
  'environmental',
  'hours',
  'stem',
  'jquery',
  'different',
  'principles',
  'integration',
  'company',
  'installing',
  'improvements',
  'material',
  'established',
  'hold',
  'requires',
  'think',
  'agile',
  'module',
  'smart',
  'units',
  'query',
  'part',
  'human',
  'data',
  'university',
  'willingness',
  'bebtech',
  'where',
  'qualification',
  'reliable',
  'broad',
  'text',
  'mentor',
  'architectural',
  'timely',
  'core',
  'servicenow',
  'estimation',
  'ensure',
  'attitude',
  'these',
  'warehouse',
  'cisco',
  'willing',
  'industry',
  'excellence',
  'networking',
  'changes',
  'operation',
  'building',
  'challenging',
  'leverage',
  'motivated',
  'successful',
  'block',
  'outcome',
  'coordinator',
  'frontend',
  'guidelines',
  'materials',
  'guidance',
  'partners',
  'indepth',
  'management',
  'college',
  'obtain',
  'emerging',
  'automation',
  'engineering',
  'used',
  'associates',
  'hvac',
  'than',
  'solution',
  'analyzing',
  'organizational',
  'application',
  'medical',
  'offering',
  'complete',
  'more',
  'identification',
  'focus',
  'implementation',
  'integrate',
  'enable',
  'coordinate',
  'retail',
  'exposure',
  'budget',
  'responsible',
  'very',
  'including',
  'interest',
  'having',
  'electronics',
  'source',
  'within',
  'base',
  'contact',
  'cognizant',
  'scripts',
  'hadoop',
  'creation',
  'world',
  'virtual',
  'leader',
  'organize',
  'governance',
  'improvement',
  'administrative',
  'long',
  'varying',
  'technology',
  'financial',
  'rules',
  'companies',
  'abilities',
  'excel',
  'modules',
  'related',
  'analytic',
  'align',
  'metrics',
  'production',
  'acumen',
  'subject',
  'software',
  'based',
  'leadership',
  'final',
  'lead',
  'situations',
  'graduate',
  'interfaces',
  'generate',
  'style',
  'formal',
  'ausbildung',
  'assistance',
  'forecasting',
  'chemistry',
  'multiple',
  'unix',
  'roadmap',
  'director',
  'total',
  'completion',
  'contribute',
  'service',
  'demand',
  'cost',
  'relevant',
  'packages',
  'desirable',
  'team',
  'future',
  'mathematics',
  'regulations',
  'years',
  'repair',
  'position',
  'staff',
  'degree',
  'fields',
  'agents',
  'risks',
  'driven',
  'diploma',
  'emphasis',
  'mandatory',
  'performing',
  'little',
  'present',
  'demonstrating',
  'multitask',
  'monthly',
  'capital',
  'aircraft',
  'general',
  'french',
  'your',
  'stories',
  'understand',
  'hana',
  'senior',
  'strategy',
  'personnel',
  'qualified',
  'developers',
  'impact',
  'operational',
  'pipelines',
  'liaison',
  'depth',
  'intelligence',
  'corporate',
  'combination',
  'other',
  'windows',
  'drivers',
  'important',
  'fully',
  'sourcing',
  'qualifications',
  'action',
  'linux',
  'efficient',
  'representing',
  'bachelors',
  'device',
  'enhance',
  'customer',
  'improve',
  'projects',
  'evaluate',
  'proactively',
  'standards',
  'major',
  'also',
  'opportunity',
  'enterprise',
  'would',
  'solve',
  'contract',
  'refining',
  'distributed',
  'feedback',
  'current',
  'updates',
  'inputs',
  'initiative',
  'presentation',
  'schedule',
  'negotiate',
  'participate',
  'across',
  'another',
  'diverse',
  'patterns',
  'safety',
  'evaluation',
  'fluent',
  'five',
  'cause',
  'devops',
  'well',
  'laws',
  'suite',
  'tools',
  'markets',
  'infrastructure',
  'expert',
  'healthcare',
  'education',
  'hardware',
  'strongly',
  'parts',
  'individuals',
  'quantitative',
  'functionality',
  'stakeholder',
  'approach',
  'reviews',
  'being',
  'initiatives',
  'visualization',
  'vendors',
  'capabilities',
  'complex',
  'masters',
  'server',
  'participation',
  'honeywell',
  'managerial',
  'administration',
  'activities',
  'functions',
  'powerpoint',
  'machine',
  'batch',
  'skilled',
  'around',
  'progressive',
  'aspects',
  'products',
  'flexible',
  'bachelor',
  'statistics',
  'desk',
  'structures',
  'competitive',
  'english',
  'communicate',
  'deploying',
  'applications',
  'lifecycle',
  'dynamic',
  'regulatory',
  'higher',
  'track',
  'role',
  'methods',
  'practices',
  'modern',
  'goals',
  'measurement',
  'driving',
  'implement',
  'functional',
  'take',
  'basic',
  'experiences',
  'bereich',
  'logic',
  'thought',
  'honeywells',
  'relationships',
  'assisting',
  'embedded',
  'making',
  'matlab',
  'pressure',
  'component',
  'specialist',
  'valve',
  'user',
  'project',
  'resolve',
  'through',
  'execute',
  'understanding',
  'selfmotivated',
  'require',
  'preparation',
  'coding',
  'annual',
  'vous',
  'storage',
  'open',
  'practice',
  'daily',
  'maintaining',
  'maintains',
  'saas',
  'logical',
  'suppliers',
  'applying',
  'alignment',
  'target',
  'conflict',
  'independently',
  'schedules',
  'join',
  'avionics',
  'oversight',
  'detailed',
  'procedures',
  'proficiency',
  'specifically',
  'direct',
  'matrix',
  'balance',
  'identifying',
  'assigned',
  'content',
  'successfully',
  'purchasing',
  'orientated',
  'bitbucket',
  'practical',
  'citizen',
  ...})
In [10]:
# Conditional Probability of the Categories

def cond_proba(df, vocab, smoothing):
    cat_count = df.groupby('Type').count()['New_Sentence'].to_dict()
    word_prob = {}

    for category in tqdm(list(set(df['Type'].values))):
        word_prob[category] = {}
        for word in list(vocab):
            word_count = 0
            for sentence in df[df['Type'] == category]['New_Sentence'].values:
                if(word in sentence):
                    word_count = word_count + 1
            
            in_val = (word_count + smoothing) / (cat_count[category] + (smoothing*len(cat_count)))
            word_prob[category][word] = in_val

    return word_prob
In [11]:
# Function to Predict the category

def predict(df, cond_prob, words_prob, prior_prob):
        
    test_data = df['New_Sentence'].str.split().tolist()
    test_labels = list(df['Type'].values)
    pred_labels = []
    
    for t_v in test_data:
        pred_cls = {}

        for key,val in cond_prob.items():
            num_a = 1
            den = 1
            for t_wrd in t_v:
                if(t_wrd in val.keys()):
                    num_a = num_a * val[t_wrd]
                if(t_wrd in words_prob.keys()):
                    den = den * words_prob[t_wrd]
            
            num = num_a * prior_prob[key]
            
            pred_cls[key] = num / den
        
        pred_labels.append(max(pred_cls, key= pred_cls.get))
    
    acc_count = 0
    for k,j in zip(list(df['Type'].values), pred_labels):
        if(k == j):
            acc_count += 1
            
    return acc_count / len(test_labels)

Without Smoothing

In [12]:
# Displaying the vocabulary
print(vocab)
{'additional', 'ownership', 'system', 'parties', 'thorough', 'matter', 'architect', 'architectures', 'java', 'player', 'hands', 'designing', 'demonstrates', 'supporting', 'postsecondary', 'selling', 'ideally', 'word', 'authority', 'python', 'nice', 'aptitude', 'assets', 'resolution', 'mapping', 'influencing', 'servers', 'support', 'scale', 'space', 'technologies', 'some', 'stream', 'equivalent', 'longterm', 'html', 'sound', 'which', 'individual', 'issues', 'accuracy', 'either', 'specifications', 'cases', 'applied', 'spark', 'verification', 'procurement', 'dummy', 'tool', 'visual', 'concepts', 'executing', 'leading', 'asset', 'respond', 'preferably', 'earned', 'global', 'prioritize', 'leaders', 'possess', 'fabrication', 'continuous', 'levels', 'cash', 'negotiation', 'lieu', 'integrated', 'integrity', 'least', 'services', 'consulting', 'expectations', 'certifications', 'decisions', 'businesses', 'drawings', 'industrial', 'belt', 'factory', 'construction', 'both', 'independent', 'programming', 'validation', 'function', 'make', 'regular', 'architecture', 'supervisory', 'problems', 'audits', 'productivity', 'disciplines', 'things', 'solid', 'next', 'businessrelated', 'evolving', 'urgency', 'knowledge', 'devices', 'sciences', 'detail', 'optimization', 'significant', 'academic', 'components', 'become', 'develops', 'expence', 'gathering', 'involving', 'distribution', 'creative', 'scope', 'goal', 'center', 'common', 'months', 'vendor', 'chain', 'field', 'line', 'government', 'database', 'jenkins', 'admin', 'define', 'associated', 'supports', 'berufserfahrung', 'oral', 'nothing', 'sessions', 'between', 'advantage', 'utilizing', 'coaching', 'throughout', 'case', 'local', 'dashboards', 'incident', 'proven', 'overall', 'document', 'domain', 'conduct', 'risk', 'organizations', 'javascript', 'deals', 'have', 'negotiations', 'salesforce', 'their', 'supervision', 'json', 'unit', 'troubleshooting', 'physical', 'deep', 'problem', 'fast', 'read', 'reports', 'rest', 'large', 'certificate', 'worked', 'fastpaced', 'personal', 'accounts', 'minimal', 'when', 'life', 'needs', 'identify', 'owners', 'facility', 'legacy', 'handling', 'banking', 'systems', 'effectively', 'endtoend', 'technically', 'social', 'transactions', 'shipping', 'databases', 'this', 'name', 'outside', 'consultant', 'aerospace', 'model', 'certified', 'handle', 'positive', 'regarding', 'collection', 'acquisition', 'german', 'change', 'deliverables', 'keep', 'stakeholders', 'analysis', 'presentations', 'scripting', 'review', 'cloud', 'influence', 'response', 'standard', 'medium', 'developing', 'test', 'sets', 'will', 'interaction', 'good', 'results', 'recognized', 'conversion', 'value', 'health', 'focused', 'people', 'interact', 'computer', 'accounting', 'generation', 'must', 'languages', 'party', 'itil', 'growth', 'professional', 'same', 'looking', 'scrum', 'graphics', 'they', 'proactive', 'dans', 'candidates', 'scalable', 'three', 'grow', 'primary', 'chemicals', 'reporting', 'communications', 'network', 'policies', 'power', 'efficiently', 'account', 'location', 'vision', 'objectives', 'articulate', 'while', 'expertise', 'interface', 'providing', 'talent', 'handson', 'monitoring', 'desired', 'economics', 'internal', 'site', 'execution', 'energy', 'office', 'usability', 'insurance', 'exceptional', 'report', 'extensive', 'launch', 'quickly', 'proposal', 'done', 'selection', 'roles', 'skills', 'specification', 'stack', 'managers', 'modeling', 'owner', 'partner', 'engage', 'meeting', 'efficiency', 'implemented', 'green', 'largescale', 'clearance', 'custom', 'deadlines', 'computing', 'managing', 'existing', 'completed', 'recovery', 'request', 'adherence', 'demonstrated', 'junior', 'math', 'facilities', 'military', 'flow', 'skill', 'with', 'limited', 'culture', 'year', 'electrical', 'journey', 'multinational', 'tasks', 'engineers', 'full', 'injection', 'challenges', 'customers', 'structure', 'point', 'study', 'estimates', 'adapt', 'globally', 'acceptance', 'into', 'deliver', 'onsite', 'capability', 'native', 'setting', 'members', 'thinking', 'operating', 'address', 'facilitate', 'awareness', 'post', 'stages', 'pipeline', 'offerings', 'motivate', 'marketing', 'from', 'writing', 'advantageous', 'plant', 'protocols', 'contracts', 'analyst', 'apis', 'migration', 'over', 'privacy', 'networks', 'fluency', 'monitor', 'familiar', 'insights', 'cicd', 'direction', 'maintenance', 'processing', 'facing', 'processes', 'jira', 'threat', 'place', 'events', 'success', 'users', 'drive', 'such', 'sales', 'versed', 'timelines', 'audit', 'variety', 'platform', 'determine', 'executives', 'term', 'outcomes', 'capacity', 'connected', 'angular', 'recruitment', 'analytical', 'collaboratively', 'reading', 'react', 'incidents', 'connaissance', 'specific', 'industries', 'terms', 'provide', 'relations', 'export', 'compliance', 'constraints', 'sensor', 'electronic', 'associate', 'defined', 'accredited', 'automated', 'increase', 'manufacturing', 'front', 'maximize', 'engagement', 'engagements', 'experienced', 'required', 'commerce', 'international', 'speaking', 'sprint', 'vertical', 'department', 'status', 'documents', 'scheduling', 'process', 'experience', 'controls', 'backlog', 'leads', 'resource', 'pour', 'ability', 'informatica', 'environments', 'orders', 'advanced', 'master', 'manner', 'resolving', 'engine', 'changing', 'delivering', 'engineer', 'growing', 'environment', 'develop', 'highly', 'consistently', 'following', 'analytics', 'tracking', 'channel', 'essential', 'using', 'build', 'best', 'advance', 'performance', 'wide', 'matrixed', 'manager', 'cybersecurity', 'flexibility', 'transformation', 'learn', 'that', 'time', 'spanish', 'like', 'models', 'performs', 'collaborative', 'basis', 'oracle', 'paced', 'adobe', 'before', 'methodologies', 'considered', 'clearly', 'integrating', 'chemical', 'down', 'relational', 'optimize', 'specialization', 'actively', 'maintain', 'analyze', 'control', 'platforms', 'security', 'details', 'efforts', 'accurate', 'inside', 'above', 'desire', 'client', 'financials', 'creativity', 'architecting', 'requiring', 'areas', 'record', 'person', 'most', 'resources', 'developer', 'tech', 'requirements', 'working', 'outlook', 'policy', 'school', 'recommendations', 'forecast', 'needed', 'fxfcr', 'discussions', 'information', 'azure', 'cyber', 'online', 'deal', 'tableau', 'critical', 'holders', 'firm', 'prepare', 'assembly', 'employee', 'recruiting', 'cycle', 'employees', 'prior', 'equipment', 'supply', 'organization', 'transition', 'snowflake', 'interpret', 'listening', 'various', 'documentation', 'special', 'create', 'frameworks', 'simulation', 'powershell', 'group', 'instrumentation', 'learning', 'mechanical', 'utilization', 'selfstarter', 'involve', 'need', 'logistics', 'commercial', 'plan', 'necessary', 'multitasking', 'opportunities', 'work', 'market', 'product', 'proposals', 'havebachelors', 'kafka', 'strategies', 'comfortable', 'calls', 'studies', 'optical', 'metal', 'backend', 'black', 'research', 'oder', 'assist', 'range', 'works', 'coordination', 'teams', 'defining', 'portfolio', 'during', 'tuning', 'features', 'tertiary', 'written', 'responsibility', 'passion', 'operate', 'legal', 'area', 'reliability', 'understands', 'satisfaction', 'abet', 'agency', 'innovative', 'directly', 'relationship', 'share', 'methodology', 'contractual', 'follow', 'polymer', 'public', 'programs', 'safe', 'environmental', 'hours', 'stem', 'jquery', 'different', 'principles', 'integration', 'company', 'installing', 'improvements', 'material', 'established', 'hold', 'requires', 'think', 'agile', 'module', 'smart', 'units', 'query', 'part', 'human', 'data', 'university', 'willingness', 'bebtech', 'where', 'qualification', 'reliable', 'broad', 'text', 'mentor', 'architectural', 'timely', 'core', 'servicenow', 'estimation', 'ensure', 'attitude', 'these', 'warehouse', 'cisco', 'willing', 'industry', 'excellence', 'networking', 'changes', 'operation', 'building', 'challenging', 'leverage', 'motivated', 'successful', 'block', 'outcome', 'coordinator', 'frontend', 'guidelines', 'materials', 'guidance', 'partners', 'indepth', 'management', 'college', 'obtain', 'emerging', 'automation', 'engineering', 'used', 'associates', 'hvac', 'than', 'solution', 'analyzing', 'organizational', 'application', 'medical', 'offering', 'complete', 'more', 'identification', 'focus', 'implementation', 'integrate', 'enable', 'coordinate', 'retail', 'exposure', 'budget', 'responsible', 'very', 'including', 'interest', 'having', 'electronics', 'source', 'within', 'base', 'contact', 'cognizant', 'scripts', 'hadoop', 'creation', 'world', 'virtual', 'leader', 'organize', 'governance', 'improvement', 'administrative', 'long', 'varying', 'technology', 'financial', 'rules', 'companies', 'abilities', 'excel', 'modules', 'related', 'analytic', 'align', 'metrics', 'production', 'acumen', 'subject', 'software', 'based', 'leadership', 'final', 'lead', 'situations', 'graduate', 'interfaces', 'generate', 'style', 'formal', 'ausbildung', 'assistance', 'forecasting', 'chemistry', 'multiple', 'unix', 'roadmap', 'director', 'total', 'completion', 'contribute', 'service', 'demand', 'cost', 'relevant', 'packages', 'desirable', 'team', 'future', 'mathematics', 'regulations', 'years', 'repair', 'position', 'staff', 'degree', 'fields', 'agents', 'risks', 'driven', 'diploma', 'emphasis', 'mandatory', 'performing', 'little', 'present', 'demonstrating', 'multitask', 'monthly', 'capital', 'aircraft', 'general', 'french', 'your', 'stories', 'understand', 'hana', 'senior', 'strategy', 'personnel', 'qualified', 'developers', 'impact', 'operational', 'pipelines', 'liaison', 'depth', 'intelligence', 'corporate', 'combination', 'other', 'windows', 'drivers', 'important', 'fully', 'sourcing', 'qualifications', 'action', 'linux', 'efficient', 'representing', 'bachelors', 'device', 'enhance', 'customer', 'improve', 'projects', 'evaluate', 'proactively', 'standards', 'major', 'also', 'opportunity', 'enterprise', 'would', 'solve', 'contract', 'refining', 'distributed', 'feedback', 'current', 'updates', 'inputs', 'initiative', 'presentation', 'schedule', 'negotiate', 'participate', 'across', 'another', 'diverse', 'patterns', 'safety', 'evaluation', 'fluent', 'five', 'cause', 'devops', 'well', 'laws', 'suite', 'tools', 'markets', 'infrastructure', 'expert', 'healthcare', 'education', 'hardware', 'strongly', 'parts', 'individuals', 'quantitative', 'functionality', 'stakeholder', 'approach', 'reviews', 'being', 'initiatives', 'visualization', 'vendors', 'capabilities', 'complex', 'masters', 'server', 'participation', 'honeywell', 'managerial', 'administration', 'activities', 'functions', 'powerpoint', 'machine', 'batch', 'skilled', 'around', 'progressive', 'aspects', 'products', 'flexible', 'bachelor', 'statistics', 'desk', 'structures', 'competitive', 'english', 'communicate', 'deploying', 'applications', 'lifecycle', 'dynamic', 'regulatory', 'higher', 'track', 'role', 'methods', 'practices', 'modern', 'goals', 'measurement', 'driving', 'implement', 'functional', 'take', 'basic', 'experiences', 'bereich', 'logic', 'thought', 'honeywells', 'relationships', 'assisting', 'embedded', 'making', 'matlab', 'pressure', 'component', 'specialist', 'valve', 'user', 'project', 'resolve', 'through', 'execute', 'understanding', 'selfmotivated', 'require', 'preparation', 'coding', 'annual', 'vous', 'storage', 'open', 'practice', 'daily', 'maintaining', 'maintains', 'saas', 'logical', 'suppliers', 'applying', 'alignment', 'target', 'conflict', 'independently', 'schedules', 'join', 'avionics', 'oversight', 'detailed', 'procedures', 'proficiency', 'specifically', 'direct', 'matrix', 'balance', 'identifying', 'assigned', 'content', 'successfully', 'purchasing', 'orientated', 'bitbucket', 'practical', 'citizen', 'right', 'finance', 'cross', 'bias', 'groups', 'strategic', 'btech', 'operations', 'access', 'external', 'quality', 'root', 'meetings', 'implementations', 'actions', 'selenium', 'supplier', 'assignments', 'microservices', 'petrochemical', 'professionals', 'level', 'andor', 'orientation', 'crossfunctional', 'guide', 'instructions', 'summary', 'write', 'includes', 'sigma', 'trends', 'strong', 'achieve', 'bring', 'secure', 'technical', 'siop', 'oriented', 'circuits', 'salesforcecom', 'pega', 'priorities', 'domains', 'laboratory', 'interpersonal', 'easier', 'techniques', 'troubleshoot', 'statistical', 'communication', 'plus', 'effective', 'pricing', 'capable', 'queries', 'design', 'cissp', 'creating', 'clear', 'collaborate', 'usage', 'establish', 'call', 'sfdc', 'provides', 'self', 'perform', 'manage', 'leveraging', 'consistent', 'setup', 'lightning', 'sources', 'designed', 'lean', 'mobile', 'candidate', 'framework', 'decision', 'implementing', 'integrations', 'close', 'genesys', 'sdlc', 'solver', 'installation', 'apply', 'include', 'defense', 'four', 'intermediate', 'business', 'each', 'development', 'science', 'minimum', 'without', 'under', 'proficient', 'added', 'types', 'corrective', 'along', 'designs', 'collaboration', 'spring', 'program', 'revenue', 'high', 'excellent', 'solutions', 'member', 'code', 'verbal', 'should', 'preferred', 'able', 'physics', 'boot', 'anticipate', 'testing', 'sustainable', 'stake', 'plans', 'sites', 'ensuring', 'requirement', 'solving', 'state', 'assurance', 'configuration', 'workflows', 'small', 'requests', 'desktop', 'translate', 'ideal', 'consultative', 'inventory', 'approaches', 'drives', 'teamwork', 'available', 'help', 'currently', 'language', 'others', 'certification', 'debugging', 'sense', 'apex', 'release', 'familiarity', 'similar', 'meet', 'problemsolving', 'warehousing', 'trade', 'aspnet', 'appropriate', 'previous', 'microsoft', 'benefits', 'demonstrate', 'about', 'facilitation', 'them', 'progress', 'mindset', 'ambiguous', 'active', 'closely', 'transfer', 'discipline', 'travel', 'order', 'availability', 'innovation', 'first', 'background', 'responsibilities', 'undergraduate', 'organized', 'delivery', 'planning', 'fire', 'executive', 'great', 'sizing', 'attention', 'clients', 'training', 'deployment', 'digital', 'applicable', 'region'}
In [13]:
# Word Probability in Documents

words_prob = {}

# calc / print probability of word
for w in vocab:
    words_prob[w] = words[w]/df.shape[0]
    
print("Word Probability in Documents:\n")
pd.DataFrame({'Word': words_prob.keys(), 'Probability': words_prob.values()})
Word Probability in Documents:

Out[13]:
Word Probability
0 additional 0.003333
1 ownership 0.001667
2 system 0.018500
3 parties 0.001167
4 thorough 0.001500
... ... ...
1192 training 0.009000
1193 deployment 0.003333
1194 digital 0.007000
1195 applicable 0.002500
1196 region 0.002000

1197 rows × 2 columns

In [14]:
# Conditional Probabilities of The Word in The Type

cond_prob = cond_proba(train, vocab, smoothing=0)

print("--- Conditional probabilities of the word in the category ---")

for category in cond_prob.keys():
    for i,j in zip(cond_prob[category].keys(),
                   cond_prob[category].values()):
        if(j != 0.0):
            print(category, "-", i, "-", j)
100%|████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:12<00:00,  2.14s/it]
--- Conditional probabilities of the word in the category ---
Experience - additional - 0.006482982171799027
Experience - system - 0.06482982171799027
Experience - matter - 0.0016207455429497568
Experience - architect - 0.02593192868719611
Experience - architectures - 0.0016207455429497568
Experience - java - 0.03079416531604538
Experience - hands - 0.027552674230145867
Experience - designing - 0.004862236628849271
Experience - supporting - 0.006482982171799027
Experience - selling - 0.008103727714748784
Experience - ideally - 0.008103727714748784
Experience - word - 0.0016207455429497568
Experience - authority - 0.0032414910858995136
Experience - python - 0.009724473257698542
Experience - nice - 0.0032414910858995136
Experience - assets - 0.0016207455429497568
Experience - servers - 0.0016207455429497568
Experience - support - 0.03241491085899514
Experience - scale - 0.014586709886547812
Experience - space - 0.014586709886547812
Experience - technologies - 0.012965964343598054
Experience - some - 0.006482982171799027
Experience - stream - 0.0016207455429497568
Experience - equivalent - 0.014586709886547812
Experience - html - 0.006482982171799027
Experience - sound - 0.0016207455429497568
Experience - which - 0.004862236628849271
Experience - individual - 0.0016207455429497568
Experience - issues - 0.0032414910858995136
Experience - either - 0.0016207455429497568
Experience - applied - 0.0032414910858995136
Experience - spark - 0.006482982171799027
Experience - verification - 0.0016207455429497568
Experience - procurement - 0.019448946515397084
Experience - dummy - 0.014586709886547812
Experience - tool - 0.027552674230145867
Experience - visual - 0.004862236628849271
Experience - concepts - 0.0032414910858995136
Experience - leading - 0.027552674230145867
Experience - asset - 0.006482982171799027
Experience - preferably - 0.014586709886547812
Experience - earned - 0.0016207455429497568
Experience - global - 0.009724473257698542
Experience - leaders - 0.019448946515397084
Experience - fabrication - 0.0016207455429497568
Experience - cash - 0.0032414910858995136
Experience - negotiation - 0.0032414910858995136
Experience - lieu - 0.008103727714748784
Experience - integrated - 0.0032414910858995136
Experience - least - 0.059967585089141004
Experience - services - 0.03403565640194489
Experience - consulting - 0.017828200972447326
Experience - certifications - 0.0016207455429497568
Experience - decisions - 0.004862236628849271
Experience - industrial - 0.017828200972447326
Experience - factory - 0.0032414910858995136
Experience - construction - 0.009724473257698542
Experience - both - 0.006482982171799027
Experience - independent - 0.0016207455429497568
Experience - programming - 0.009724473257698542
Experience - function - 0.02106969205834684
Experience - architecture - 0.01620745542949757
Experience - supervisory - 0.0032414910858995136
Experience - problems - 0.0016207455429497568
Experience - audits - 0.004862236628849271
Experience - solid - 0.0016207455429497568
Experience - businessrelated - 0.0016207455429497568
Experience - knowledge - 0.019448946515397084
Experience - sciences - 0.0016207455429497568
Experience - detail - 0.0032414910858995136
Experience - significant - 0.0032414910858995136
Experience - components - 0.006482982171799027
Experience - develops - 0.0016207455429497568
Experience - expence - 0.006482982171799027
Experience - gathering - 0.0016207455429497568
Experience - involving - 0.0016207455429497568
Experience - distribution - 0.0016207455429497568
Experience - scope - 0.0032414910858995136
Experience - goal - 0.0016207455429497568
Experience - center - 0.004862236628849271
Experience - common - 0.0016207455429497568
Experience - months - 0.006482982171799027
Experience - chain - 0.019448946515397084
Experience - field - 0.027552674230145867
Experience - line - 0.008103727714748784
Experience - government - 0.0016207455429497568
Experience - database - 0.012965964343598054
Experience - jenkins - 0.0016207455429497568
Experience - admin - 0.011345218800648298
Experience - berufserfahrung - 0.0016207455429497568
Experience - oral - 0.0016207455429497568
Experience - nothing - 0.014586709886547812
Experience - between - 0.0032414910858995136
Experience - advantage - 0.0016207455429497568
Experience - utilizing - 0.0016207455429497568
Experience - case - 0.0016207455429497568
Experience - dashboards - 0.0016207455429497568
Experience - incident - 0.0016207455429497568
Experience - proven - 0.006482982171799027
Experience - overall - 0.01620745542949757
Experience - document - 0.0016207455429497568
Experience - domain - 0.01620745542949757
Experience - conduct - 0.0016207455429497568
Experience - organizations - 0.0032414910858995136
Experience - javascript - 0.008103727714748784
Experience - have - 0.04538087520259319
Experience - negotiations - 0.0032414910858995136
Experience - salesforce - 0.009724473257698542
Experience - unit - 0.0016207455429497568
Experience - troubleshooting - 0.008103727714748784
Experience - physical - 0.0032414910858995136
Experience - deep - 0.004862236628849271
Experience - problem - 0.0016207455429497568
Experience - read - 0.0032414910858995136
Experience - reports - 0.0032414910858995136
Experience - rest - 0.0032414910858995136
Experience - large - 0.03403565640194489
Experience - certificate - 0.0016207455429497568
Experience - accounts - 0.0032414910858995136
Experience - minimal - 0.0016207455429497568
Experience - life - 0.01620745542949757
Experience - legacy - 0.0032414910858995136
Experience - handling - 0.004862236628849271
Experience - banking - 0.0032414910858995136
Experience - systems - 0.04538087520259319
Experience - effectively - 0.0016207455429497568
Experience - endtoend - 0.0016207455429497568
Experience - social - 0.0016207455429497568
Experience - transactions - 0.0016207455429497568
Experience - databases - 0.004862236628849271
Experience - this - 0.017828200972447326
Experience - outside - 0.0032414910858995136
Experience - consultant - 0.004862236628849271
Experience - aerospace - 0.011345218800648298
Experience - model - 0.009724473257698542
Experience - handle - 0.0016207455429497568
Experience - positive - 0.0016207455429497568
Experience - regarding - 0.0016207455429497568
Experience - collection - 0.0032414910858995136
Experience - acquisition - 0.0016207455429497568
Experience - german - 0.0016207455429497568
Experience - deliverables - 0.0016207455429497568
Experience - analysis - 0.02106969205834684
Experience - scripting - 0.006482982171799027
Experience - review - 0.004862236628849271
Experience - cloud - 0.022690437601296597
Experience - response - 0.0032414910858995136
Experience - standard - 0.0032414910858995136
Experience - medium - 0.0032414910858995136
Experience - developing - 0.019448946515397084
Experience - test - 0.04862236628849271
Experience - sets - 0.0032414910858995136
Experience - will - 0.01620745542949757
Experience - good - 0.0032414910858995136
Experience - results - 0.0032414910858995136
Experience - recognized - 0.0032414910858995136
Experience - value - 0.006482982171799027
Experience - health - 0.006482982171799027
Experience - focused - 0.008103727714748784
Experience - people - 0.0016207455429497568
Experience - computer - 0.009724473257698542
Experience - accounting - 0.012965964343598054
Experience - must - 0.03241491085899514
Experience - languages - 0.008103727714748784
Experience - party - 0.0032414910858995136
Experience - growth - 0.0032414910858995136
Experience - professional - 0.022690437601296597
Experience - same - 0.0016207455429497568
Experience - looking - 0.008103727714748784
Experience - scrum - 0.008103727714748784
Experience - graphics - 0.0032414910858995136
Experience - candidates - 0.0016207455429497568
Experience - scalable - 0.0016207455429497568
Experience - three - 0.006482982171799027
Experience - grow - 0.004862236628849271
Experience - chemicals - 0.009724473257698542
Experience - reporting - 0.008103727714748784
Experience - communications - 0.0016207455429497568
Experience - network - 0.017828200972447326
Experience - policies - 0.0016207455429497568
Experience - power - 0.009724473257698542
Experience - account - 0.029173419773095625
Experience - location - 0.0016207455429497568
Experience - vision - 0.0016207455429497568
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Education - university - 0.029556650246305417
Education - willingness - 0.0016420361247947454
Education - bebtech - 0.009852216748768473
Education - where - 0.0016420361247947454
Education - qualification - 0.052545155993431854
Education - reliable - 0.0016420361247947454
Education - broad - 0.003284072249589491
Education - text - 0.013136288998357963
Education - mentor - 0.0016420361247947454
Education - servicenow - 0.0016420361247947454
Education - estimation - 0.0016420361247947454
Education - these - 0.0016420361247947454
Education - willing - 0.0016420361247947454
Education - industry - 0.016420361247947456
Education - excellence - 0.0016420361247947454
Education - operation - 0.009852216748768473
Education - building - 0.003284072249589491
Education - block - 0.013136288998357963
Education - outcome - 0.0016420361247947454
Education - guidelines - 0.0016420361247947454
Education - materials - 0.003284072249589491
Education - partners - 0.0016420361247947454
Education - indepth - 0.0016420361247947454
Education - management - 0.07389162561576355
Education - college - 0.021346469622331693
Education - automation - 0.0180623973727422
Education - engineering - 0.3645320197044335
Education - associates - 0.011494252873563218
Education - solution - 0.011494252873563218
Education - organizational - 0.0016420361247947454
Education - application - 0.014778325123152709
Education - medical - 0.0016420361247947454
Education - offering - 0.0016420361247947454
Education - complete - 0.008210180623973728
Education - more - 0.0016420361247947454
Education - focus - 0.006568144499178982
Education - implementation - 0.0049261083743842365
Education - enable - 0.0016420361247947454
Education - coordinate - 0.0016420361247947454
Education - retail - 0.0016420361247947454
Education - exposure - 0.0016420361247947454
Education - very - 0.0016420361247947454
Education - including - 0.003284072249589491
Education - electronics - 0.04433497536945813
Education - source - 0.0049261083743842365
Education - within - 0.009852216748768473
Education - base - 0.003284072249589491
Education - cognizant - 0.0016420361247947454
Education - hadoop - 0.0016420361247947454
Education - leader - 0.0016420361247947454
Education - governance - 0.0016420361247947454
Education - long - 0.0016420361247947454
Education - technology - 0.04433497536945813
Education - financial - 0.0049261083743842365
Education - abilities - 0.0016420361247947454
Education - excel - 0.003284072249589491
Education - modules - 0.0016420361247947454
Education - related - 0.12807881773399016
Education - analytic - 0.009852216748768473
Education - align - 0.0016420361247947454
Education - metrics - 0.0016420361247947454
Education - production - 0.0016420361247947454
Education - subject - 0.013136288998357963
Education - software - 0.022988505747126436
Education - based - 0.0016420361247947454
Education - leadership - 0.0016420361247947454
Education - final - 0.0016420361247947454
Education - lead - 0.006568144499178982
Education - graduate - 0.041050903119868636
Education - ausbildung - 0.0016420361247947454
Education - chemistry - 0.009852216748768473
Education - multiple - 0.0016420361247947454
Education - unix - 0.0016420361247947454
Education - roadmap - 0.0016420361247947454
Education - contribute - 0.0016420361247947454
Education - service - 0.009852216748768473
Education - cost - 0.0016420361247947454
Education - relevant - 0.021346469622331693
Education - desirable - 0.0016420361247947454
Education - team - 0.009852216748768473
Education - mathematics - 0.008210180623973728
Education - years - 0.011494252873563218
Education - position - 0.0049261083743842365
Education - degree - 0.5402298850574713
Education - fields - 0.008210180623973728
Education - diploma - 0.03284072249589491
Education - emphasis - 0.0016420361247947454
Education - mandatory - 0.0016420361247947454
Education - present - 0.014778325123152709
Education - demonstrating - 0.003284072249589491
Education - monthly - 0.003284072249589491
Education - general - 0.003284072249589491
Education - your - 0.0016420361247947454
Education - understand - 0.0049261083743842365
Education - senior - 0.0049261083743842365
Education - qualified - 0.0016420361247947454
Education - impact - 0.0016420361247947454
Education - depth - 0.0049261083743842365
Education - intelligence - 0.003284072249589491
Education - corporate - 0.0016420361247947454
Education - combination - 0.006568144499178982
Education - other - 0.031198686371100164
Education - qualifications - 0.024630541871921183
Education - action - 0.0016420361247947454
Education - linux - 0.0016420361247947454
Education - efficient - 0.0016420361247947454
Education - representing - 0.013136288998357963
Education - bachelors - 0.3448275862068966
Education - device - 0.0016420361247947454
Education - customer - 0.006568144499178982
Education - projects - 0.0049261083743842365
Education - standards - 0.003284072249589491
Education - major - 0.008210180623973728
Education - opportunity - 0.0016420361247947454
Education - enterprise - 0.003284072249589491
Education - would - 0.0049261083743842365
Education - contract - 0.0016420361247947454
Education - current - 0.009852216748768473
Education - inputs - 0.0016420361247947454
Education - initiative - 0.003284072249589491
Education - participate - 0.0016420361247947454
Education - across - 0.006568144499178982
Education - another - 0.003284072249589491
Education - diverse - 0.0016420361247947454
Education - safety - 0.003284072249589491
Education - evaluation - 0.0016420361247947454
Education - devops - 0.0016420361247947454
Education - well - 0.003284072249589491
Education - laws - 0.0016420361247947454
Education - tools - 0.0049261083743842365
Education - expert - 0.0180623973727422
Education - education - 0.03776683087027915
Education - hardware - 0.003284072249589491
Education - strongly - 0.0049261083743842365
Education - individuals - 0.0016420361247947454
Education - quantitative - 0.0016420361247947454
Education - approach - 0.0016420361247947454
Education - being - 0.0016420361247947454
Education - initiatives - 0.003284072249589491
Education - visualization - 0.0016420361247947454
Education - capabilities - 0.0016420361247947454
Education - complex - 0.0016420361247947454
Education - masters - 0.07717569786535304
Education - honeywell - 0.0016420361247947454
Education - administration - 0.031198686371100164
Education - activities - 0.003284072249589491
Education - functions - 0.0016420361247947454
Education - machine - 0.0016420361247947454
Education - products - 0.006568144499178982
Education - bachelor - 0.3891625615763547
Education - statistics - 0.0049261083743842365
Education - applications - 0.008210180623973728
Education - regulatory - 0.003284072249589491
Education - higher - 0.008210180623973728
Education - track - 0.003284072249589491
Education - role - 0.0049261083743842365
Education - practices - 0.003284072249589491
Education - modern - 0.0016420361247947454
Education - implement - 0.006568144499178982
Education - functional - 0.003284072249589491
Education - basic - 0.0049261083743842365
Education - bereich - 0.003284072249589491
Education - embedded - 0.003284072249589491
Education - component - 0.003284072249589491
Education - specialist - 0.0016420361247947454
Education - project - 0.027914614121510674
Education - through - 0.0016420361247947454
Education - understanding - 0.0049261083743842365
Education - require - 0.03776683087027915
Education - coding - 0.003284072249589491
Education - annual - 0.0016420361247947454
Education - vous - 0.0016420361247947454
Education - open - 0.0016420361247947454
Education - practice - 0.003284072249589491
Education - maintaining - 0.0016420361247947454
Education - applying - 0.0016420361247947454
Education - target - 0.0016420361247947454
Education - join - 0.003284072249589491
Education - proficiency - 0.0016420361247947454
Education - specifically - 0.0016420361247947454
Education - direct - 0.008210180623973728
Education - assigned - 0.0049261083743842365
Education - practical - 0.0049261083743842365
Education - finance - 0.04597701149425287
Education - cross - 0.006568144499178982
Education - btech - 0.016420361247947456
Education - operations - 0.009852216748768473
Education - quality - 0.009852216748768473
Education - implementations - 0.0016420361247947454
Education - assignments - 0.0016420361247947454
Education - petrochemical - 0.0016420361247947454
Education - level - 0.022988505747126436
Education - andor - 0.019704433497536946
Education - guide - 0.0016420361247947454
Education - summary - 0.0016420361247947454
Education - includes - 0.0016420361247947454
Education - sigma - 0.0180623973727422
Education - trends - 0.0016420361247947454
Education - strong - 0.009852216748768473
Education - achieve - 0.0016420361247947454
Education - bring - 0.003284072249589491
Education - technical - 0.06403940886699508
Education - pega - 0.0016420361247947454
Education - communication - 0.013136288998357963
Education - plus - 0.021346469622331693
Education - effective - 0.003284072249589491
Education - queries - 0.0016420361247947454
Education - design - 0.0180623973727422
Education - cissp - 0.009852216748768473
Education - clear - 0.0016420361247947454
Education - call - 0.0016420361247947454
Education - sfdc - 0.0016420361247947454
Education - perform - 0.0049261083743842365
Education - manage - 0.07389162561576355
Education - sources - 0.003284072249589491
Education - lean - 0.011494252873563218
Education - candidate - 0.009852216748768473
Education - implementing - 0.0016420361247947454
Education - close - 0.0049261083743842365
Education - genesys - 0.0016420361247947454
Education - apply - 0.003284072249589491
Education - include - 0.0016420361247947454
Education - four - 0.003284072249589491
Education - intermediate - 0.0016420361247947454
Education - business - 0.12315270935960591
Education - development - 0.011494252873563218
Education - science - 0.2019704433497537
Education - minimum - 0.009852216748768473
Education - without - 0.0016420361247947454
Education - under - 0.009852216748768473
Education - along - 0.0016420361247947454
Education - designs - 0.0016420361247947454
Education - collaboration - 0.0016420361247947454
Education - program - 0.0180623973727422
Education - high - 0.041050903119868636
Education - excellent - 0.0016420361247947454
Education - solutions - 0.0049261083743842365
Education - member - 0.0016420361247947454
Education - code - 0.003284072249589491
Education - should - 0.0016420361247947454
Education - preferred - 0.08045977011494253
Education - able - 0.013136288998357963
Education - physics - 0.019704433497536946
Education - testing - 0.0049261083743842365
Education - requirement - 0.011494252873563218
Education - solving - 0.003284072249589491
Education - assurance - 0.0016420361247947454
Education - ideal - 0.003284072249589491
Education - available - 0.0016420361247947454
Education - currently - 0.006568144499178982
Education - certification - 0.08210180623973727
Education - similar - 0.011494252873563218
Education - meet - 0.0016420361247947454
Education - warehousing - 0.003284072249589491
Education - trade - 0.0016420361247947454
Education - appropriate - 0.0016420361247947454
Education - microsoft - 0.0016420361247947454
Education - demonstrate - 0.0049261083743842365
Education - them - 0.011494252873563218
Education - ambiguous - 0.0016420361247947454
Education - closely - 0.0049261083743842365
Education - transfer - 0.0016420361247947454
Education - discipline - 0.041050903119868636
Education - travel - 0.0016420361247947454
Education - order - 0.003284072249589491
Education - background - 0.008210180623973728
Education - responsibilities - 0.0016420361247947454
Education - undergraduate - 0.0049261083743842365
Education - delivery - 0.0016420361247947454
Education - planning - 0.0016420361247947454
Education - great - 0.003284072249589491
Education - attention - 0.0016420361247947454
Education - training - 0.0049261083743842365
Education - digital - 0.006568144499178982
Education - applicable - 0.0016420361247947454
In [15]:
# Prior Probability for each type

prior_prob = train.groupby('Type').count()['New_Sentence'].to_dict()

for i,j in prior_prob.items():
    prior_prob[i] = (j / train.shape[0])

print("--- Class Prior Probability ---")
pd.DataFrame({'Category': prior_prob.keys(), 'Probability': prior_prob.values()})
--- Class Prior Probability ---
Out[15]:
Category Probability
0 Education 0.169167
1 Experience 0.171389
2 Requirement 0.168056
3 Responsibility 0.159722
4 Skill 0.167222
5 SoftSkill 0.164444
In [16]:
# printing the train and test accuracy

print("Training Accuracy: ", predict(train, 
                                     cond_prob, 
                                     words_prob, 
                                     prior_prob))

print("Testing Accuracy: ", predict(dev, 
                                    cond_prob, 
                                    words_prob, 
                                    prior_prob))
Training Accuracy:  0.7247222222222223
Testing Accuracy:  0.545
In [17]:
sorted(cond_prob[i].items(), key=lambda item: item, reverse=False)
Out[17]:
[('abet', 0.0),
 ('abilities', 0.008445945945945946),
 ('ability', 0.20270270270270271),
 ('able', 0.0625),
 ('about', 0.010135135135135136),
 ('above', 0.0),
 ('academic', 0.0),
 ('acceptance', 0.0),
 ('access', 0.0),
 ('account', 0.0),
 ('accounting', 0.0),
 ('accounts', 0.0),
 ('accredited', 0.0),
 ('accuracy', 0.0016891891891891893),
 ('accurate', 0.0016891891891891893),
 ('achieve', 0.0033783783783783786),
 ('acquisition', 0.0),
 ('across', 0.013513513513513514),
 ('action', 0.018581081081081082),
 ('actions', 0.0033783783783783786),
 ('active', 0.016891891891891893),
 ('actively', 0.006756756756756757),
 ('activities', 0.005067567567567568),
 ('acumen', 0.010135135135135136),
 ('adapt', 0.010135135135135136),
 ('added', 0.0),
 ('additional', 0.005067567567567568),
 ('address', 0.0016891891891891893),
 ('adherence', 0.0033783783783783786),
 ('admin', 0.0),
 ('administration', 0.0),
 ('administrative', 0.0),
 ('adobe', 0.0),
 ('advance', 0.006756756756756757),
 ('advanced', 0.006756756756756757),
 ('advantage', 0.0),
 ('advantageous', 0.0),
 ('aerospace', 0.0016891891891891893),
 ('agency', 0.0),
 ('agents', 0.0),
 ('agile', 0.006756756756756757),
 ('aircraft', 0.0016891891891891893),
 ('align', 0.0016891891891891893),
 ('alignment', 0.0016891891891891893),
 ('along', 0.0016891891891891893),
 ('also', 0.0016891891891891893),
 ('ambiguous', 0.005067567567567568),
 ('analysis', 0.010135135135135136),
 ('analyst', 0.0),
 ('analytic', 0.048986486486486486),
 ('analytical', 0.0472972972972973),
 ('analytics', 0.0016891891891891893),
 ('analyze', 0.006756756756756757),
 ('analyzing', 0.0016891891891891893),
 ('andor', 0.0),
 ('angular', 0.0016891891891891893),
 ('annual', 0.0),
 ('another', 0.0),
 ('anticipate', 0.0033783783783783786),
 ('apex', 0.0),
 ('apis', 0.0),
 ('applicable', 0.0),
 ('application', 0.006756756756756757),
 ('applications', 0.0016891891891891893),
 ('applied', 0.0),
 ('apply', 0.0033783783783783786),
 ('applying', 0.0016891891891891893),
 ('approach', 0.006756756756756757),
 ('approaches', 0.0033783783783783786),
 ('appropriate', 0.0016891891891891893),
 ('aptitude', 0.0016891891891891893),
 ('architect', 0.0033783783783783786),
 ('architecting', 0.0016891891891891893),
 ('architectural', 0.0),
 ('architecture', 0.0016891891891891893),
 ('architectures', 0.0),
 ('area', 0.0016891891891891893),
 ('areas', 0.0016891891891891893),
 ('around', 0.0),
 ('articulate', 0.0016891891891891893),
 ('aspects', 0.0),
 ('aspnet', 0.0),
 ('assembly', 0.0),
 ('asset', 0.0),
 ('assets', 0.0),
 ('assigned', 0.0016891891891891893),
 ('assignments', 0.0),
 ('assist', 0.0016891891891891893),
 ('assistance', 0.0),
 ('assisting', 0.0016891891891891893),
 ('associate', 0.0),
 ('associated', 0.0),
 ('associates', 0.0),
 ('assurance', 0.0),
 ('attention', 0.011824324324324325),
 ('attitude', 0.013513513513513514),
 ('audit', 0.0016891891891891893),
 ('audits', 0.0),
 ('ausbildung', 0.0),
 ('authority', 0.0),
 ('automated', 0.0016891891891891893),
 ('automation', 0.0),
 ('availability', 0.0),
 ('available', 0.0),
 ('avionics', 0.0),
 ('awareness', 0.0),
 ('azure', 0.0),
 ('bachelor', 0.0),
 ('bachelors', 0.0),
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 ('background', 0.0016891891891891893),
 ('backlog', 0.0),
 ('balance', 0.0),
 ('banking', 0.0),
 ('base', 0.006756756756756757),
 ('based', 0.0033783783783783786),
 ('basic', 0.005067567567567568),
 ('basis', 0.0),
 ('batch', 0.0),
 ('bebtech', 0.0),
 ('become', 0.0),
 ('before', 0.0016891891891891893),
 ('being', 0.0033783783783783786),
 ('belt', 0.0),
 ('benefits', 0.0016891891891891893),
 ('bereich', 0.0),
 ('berufserfahrung', 0.0),
 ('best', 0.008445945945945946),
 ('between', 0.0),
 ('bias', 0.005067567567567568),
 ('bitbucket', 0.0),
 ('black', 0.0),
 ('block', 0.018581081081081082),
 ('boot', 0.0016891891891891893),
 ('both', 0.02027027027027027),
 ('bring', 0.0),
 ('broad', 0.0033783783783783786),
 ('btech', 0.0),
 ('budget', 0.0016891891891891893),
 ('build', 0.013513513513513514),
 ('building', 0.008445945945945946),
 ('business', 0.052364864864864864),
 ('businesses', 0.0),
 ('businessrelated', 0.0),
 ('call', 0.006756756756756757),
 ('calls', 0.0016891891891891893),
 ('candidate', 0.0016891891891891893),
 ('candidates', 0.0),
 ('capabilities', 0.005067567567567568),
 ('capability', 0.0033783783783783786),
 ('capable', 0.005067567567567568),
 ('capacity', 0.0016891891891891893),
 ('capital', 0.0),
 ('case', 0.0033783783783783786),
 ('cases', 0.0033783783783783786),
 ('cash', 0.0),
 ('cause', 0.0016891891891891893),
 ('center', 0.0),
 ('certificate', 0.0),
 ('certification', 0.0),
 ('certifications', 0.0),
 ('certified', 0.0),
 ('chain', 0.0),
 ('challenges', 0.0016891891891891893),
 ('challenging', 0.0033783783783783786),
 ('change', 0.016891891891891893),
 ('changes', 0.0),
 ('changing', 0.005067567567567568),
 ('channel', 0.0),
 ('chemical', 0.0),
 ('chemicals', 0.0),
 ('chemistry', 0.0),
 ('cicd', 0.0),
 ('circuits', 0.0),
 ('cisco', 0.0),
 ('cissp', 0.0),
 ('citizen', 0.0),
 ('clear', 0.02027027027027027),
 ('clearance', 0.0),
 ('clearly', 0.011824324324324325),
 ('client', 0.011824324324324325),
 ('clients', 0.005067567567567568),
 ('close', 0.006756756756756757),
 ('closely', 0.0016891891891891893),
 ('cloud', 0.0),
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 ('code', 0.0),
 ('coding', 0.0),
 ('cognizant', 0.0016891891891891893),
 ('collaborate', 0.011824324324324325),
 ('collaboration', 0.011824324324324325),
 ('collaborative', 0.016891891891891893),
 ('collaboratively', 0.005067567567567568),
 ('collection', 0.0),
 ('college', 0.0),
 ('combination', 0.0),
 ('comfortable', 0.0033783783783783786),
 ('commerce', 0.0),
 ('commercial', 0.0),
 ('common', 0.0016891891891891893),
 ('communicate', 0.02195945945945946),
 ('communication', 0.17736486486486486),
 ('communications', 0.016891891891891893),
 ('companies', 0.0),
 ('company', 0.005067567567567568),
 ('competitive', 0.0),
 ('complete', 0.0016891891891891893),
 ('completed', 0.0),
 ('completion', 0.0),
 ('complex', 0.015202702702702704),
 ('compliance', 0.0033783783783783786),
 ('component', 0.005067567567567568),
 ('components', 0.0033783783783783786),
 ('computer', 0.0016891891891891893),
 ('computing', 0.0),
 ('concepts', 0.006756756756756757),
 ('conduct', 0.0033783783783783786),
 ('configuration', 0.0016891891891891893),
 ('conflict', 0.011824324324324325),
 ('connaissance', 0.0033783783783783786),
 ('connected', 0.0),
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 ('consistent', 0.005067567567567568),
 ('consistently', 0.0033783783783783786),
 ('constraints', 0.0),
 ('construction', 0.0),
 ('consultant', 0.0),
 ('consultative', 0.0),
 ('consulting', 0.0016891891891891893),
 ('contact', 0.0),
 ('content', 0.0016891891891891893),
 ('continuous', 0.0033783783783783786),
 ('contract', 0.0016891891891891893),
 ('contracts', 0.0),
 ('contractual', 0.0),
 ('contribute', 0.0016891891891891893),
 ('control', 0.013513513513513514),
 ('controls', 0.0033783783783783786),
 ('conversion', 0.0),
 ('coordinate', 0.0016891891891891893),
 ('coordination', 0.005067567567567568),
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 ('corporate', 0.0),
 ('corrective', 0.0033783783783783786),
 ('cost', 0.006756756756756757),
 ('create', 0.0033783783783783786),
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 ('critical', 0.011824324324324325),
 ('cross', 0.037162162162162164),
 ('crossfunctional', 0.018581081081081082),
 ('culture', 0.0033783783783783786),
 ('current', 0.0016891891891891893),
 ('currently', 0.0),
 ('custom', 0.05067567567567568),
 ('customer', 0.05067567567567568),
 ('customers', 0.018581081081081082),
 ('cyber', 0.0016891891891891893),
 ('cybersecurity', 0.0016891891891891893),
 ('cycle', 0.0016891891891891893),
 ('daily', 0.0033783783783783786),
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 ('recruiting', 0.0),
 ('recruitment', 0.0),
 ('refining', 0.0),
 ('regarding', 0.0),
 ('region', 0.0016891891891891893),
 ('regular', 0.0),
 ('regulations', 0.0),
 ('regulatory', 0.0033783783783783786),
 ('related', 0.0016891891891891893),
 ('relational', 0.0),
 ('relations', 0.018581081081081082),
 ('relationship', 0.016891891891891893),
 ('relationships', 0.011824324324324325),
 ('release', 0.0),
 ('relevant', 0.0016891891891891893),
 ('reliability', 0.0),
 ('reliable', 0.0016891891891891893),
 ('repair', 0.0016891891891891893),
 ('report', 0.010135135135135136),
 ('reporting', 0.005067567567567568),
 ('reports', 0.0016891891891891893),
 ('representing', 0.016891891891891893),
 ('request', 0.0),
 ('requests', 0.0),
 ('require', 0.02364864864864865),
 ('required', 0.005067567567567568),
 ('requirement', 0.016891891891891893),
 ('requirements', 0.013513513513513514),
 ('requires', 0.0016891891891891893),
 ('requiring', 0.0),
 ('research', 0.0033783783783783786),
 ('resolution', 0.0016891891891891893),
 ('resolve', 0.005067567567567568),
 ('resolving', 0.0),
 ('resource', 0.0016891891891891893),
 ('resources', 0.0016891891891891893),
 ('respond', 0.0033783783783783786),
 ('response', 0.0016891891891891893),
 ('responsibilities', 0.010135135135135136),
 ('responsibility', 0.0016891891891891893),
 ('responsible', 0.006756756756756757),
 ('rest', 0.0033783783783783786),
 ('results', 0.02533783783783784),
 ('retail', 0.0),
 ('revenue', 0.0),
 ('review', 0.0016891891891891893),
 ('reviews', 0.0016891891891891893),
 ('right', 0.0033783783783783786),
 ('risk', 0.0016891891891891893),
 ('risks', 0.0),
 ('roadmap', 0.0),
 ('role', 0.006756756756756757),
 ('roles', 0.0),
 ('root', 0.0016891891891891893),
 ('rules', 0.0016891891891891893),
 ('saas', 0.0),
 ('safe', 0.0033783783783783786),
 ('safety', 0.0033783783783783786),
 ('sales', 0.010135135135135136),
 ('salesforce', 0.0016891891891891893),
 ('salesforcecom', 0.0),
 ('same', 0.0016891891891891893),
 ('satisfaction', 0.0),
 ('scalable', 0.0),
 ('scale', 0.0033783783783783786),
 ('schedule', 0.006756756756756757),
 ('schedules', 0.0),
 ('scheduling', 0.0016891891891891893),
 ('school', 0.0),
 ('science', 0.0),
 ('sciences', 0.0),
 ('scope', 0.0016891891891891893),
 ('scripting', 0.0),
 ('scripts', 0.0),
 ('scrum', 0.0),
 ('sdlc', 0.0),
 ('secure', 0.0),
 ('security', 0.0033783783783783786),
 ('selection', 0.0033783783783783786),
 ('selenium', 0.0),
 ('self', 0.03885135135135135),
 ('selfmotivated', 0.008445945945945946),
 ('selfstarter', 0.006756756756756757),
 ('selling', 0.0),
 ('senior', 0.008445945945945946),
 ('sense', 0.0033783783783783786),
 ('sensor', 0.0),
 ('server', 0.0),
 ('servers', 0.0),
 ('service', 0.010135135135135136),
 ('servicenow', 0.0),
 ('services', 0.0016891891891891893),
 ('sessions', 0.0016891891891891893),
 ('sets', 0.0),
 ('setting', 0.0),
 ('setup', 0.0),
 ('sfdc', 0.0),
 ('share', 0.0033783783783783786),
 ('shipping', 0.0),
 ('should', 0.008445945945945946),
 ('sigma', 0.0),
 ('significant', 0.0),
 ('similar', 0.0),
 ('simulation', 0.0),
 ('siop', 0.0),
 ('site', 0.0),
 ('sites', 0.0),
 ('situations', 0.013513513513513514),
 ('sizing', 0.0),
 ('skill', 0.3597972972972973),
 ('skilled', 0.0033783783783783786),
 ...]
In [18]:
print("Top 10 words for Each Type")
print("-------------------------------")
for i in list(cond_prob.keys()):
    print(i)
    print(list(dict(sorted(cond_prob[i].items(), key=lambda item: item[1], reverse=True)).keys())[:10])
Top 10 words for Each Type
-------------------------------
Experience
['year', 'experience', 'years', 'with', 'minimum', 'work', 'develop', 'development', 'manage', 'tech']
Responsibility
['with', 'manage', 'work', 'develop', 'team', 'business', 'will', 'product', 'support', 'tech']
Skill
['experience', 'with', 'knowledge', 'work', 'manage', 'management', 'tool', 'data', 'develop', 'skill']
SoftSkill
['skill', 'skills', 'ability', 'communication', 'with', 'strong', 'excel', 'team', 'manage', 'excellent']
Requirement
['experience', 'with', 'ability', 'work', 'knowledge', 'must', 'require', 'skill', 'able', 'have']
Education
['degree', 'bachelor', 'engine', 'engineer', 'engineering', 'bachelors', 'science', 'computer', 'tech', 'related']

Conditional Probabilities with Smoothing 0.0001

In [19]:
# Conditional Probabilities of The Word in The Type

cond_prob = cond_proba(train, vocab, smoothing=0.0001)

print("--- Conditional probabilities of the word in the category ---")

for category in cond_prob.keys():
    for i,j in zip(cond_prob[category].keys(),
                   cond_prob[category].values()):
        if(j != 0.0):
            print(category, "-", i, "-", j)
100%|████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:13<00:00,  2.19s/it]
--- Conditional probabilities of the word in the category ---
Experience - additional - 0.0064831379418431685
Experience - ownership - 1.6207439668616207e-07
Experience - system - 0.06482992074886151
Experience - parties - 1.6207439668616207e-07
Experience - thorough - 1.6207439668616207e-07
Experience - matter - 0.0016209060412583067
Experience - architect - 0.025932065544182616
Experience - architectures - 0.0016209060412583067
Experience - java - 0.030794297444767478
Experience - player - 1.6207439668616207e-07
Experience - hands - 0.027552809511044236
Experience - designing - 0.004862393974981548
Experience - demonstrates - 1.6207439668616207e-07
Experience - supporting - 0.0064831379418431685
Experience - postsecondary - 1.6207439668616207e-07
Experience - selling - 0.008103881908704789
Experience - ideally - 0.008103881908704789
Experience - word - 0.0016209060412583067
Experience - authority - 0.003241650008119928
Experience - python - 0.00972462587556641
Experience - nice - 0.003241650008119928
Experience - aptitude - 1.6207439668616207e-07
Experience - assets - 0.0016209060412583067
Experience - resolution - 1.6207439668616207e-07
Experience - mapping - 1.6207439668616207e-07
Experience - influencing - 1.6207439668616207e-07
Experience - servers - 0.0016209060412583067
Experience - support - 0.0324150414116291
Experience - scale - 0.014586857776151272
Experience - space - 0.014586857776151272
Experience - technologies - 0.01296611380928965
Experience - some - 0.0064831379418431685
Experience - stream - 0.0016209060412583067
Experience - equivalent - 0.014586857776151272
Experience - longterm - 1.6207439668616207e-07
Experience - html - 0.0064831379418431685
Experience - sound - 0.0016209060412583067
Experience - which - 0.004862393974981548
Experience - individual - 0.0016209060412583067
Experience - issues - 0.003241650008119928
Experience - accuracy - 1.6207439668616207e-07
Experience - either - 0.0016209060412583067
Experience - specifications - 1.6207439668616207e-07
Experience - cases - 1.6207439668616207e-07
Experience - applied - 0.003241650008119928
Experience - spark - 0.0064831379418431685
Experience - verification - 0.0016209060412583067
Experience - procurement - 0.019449089676736135
Experience - dummy - 0.014586857776151272
Experience - tool - 0.027552809511044236
Experience - visual - 0.004862393974981548
Experience - concepts - 0.003241650008119928
Experience - executing - 1.6207439668616207e-07
Experience - leading - 0.027552809511044236
Experience - asset - 0.0064831379418431685
Experience - respond - 1.6207439668616207e-07
Experience - preferably - 0.014586857776151272
Experience - earned - 0.0016209060412583067
Experience - global - 0.00972462587556641
Experience - prioritize - 1.6207439668616207e-07
Experience - leaders - 0.019449089676736135
Experience - possess - 1.6207439668616207e-07
Experience - fabrication - 0.0016209060412583067
Experience - continuous - 1.6207439668616207e-07
Experience - levels - 1.6207439668616207e-07
Experience - cash - 0.003241650008119928
Experience - negotiation - 0.003241650008119928
Experience - lieu - 0.008103881908704789
Experience - integrated - 0.003241650008119928
Experience - integrity - 1.6207439668616207e-07
Experience - least - 0.059967688848276655
Experience - services - 0.03403578537849072
Experience - consulting - 0.017828345709874512
Experience - expectations - 1.6207439668616207e-07
Experience - certifications - 0.0016209060412583067
Experience - decisions - 0.004862393974981548
Experience - businesses - 1.6207439668616207e-07
Experience - drawings - 1.6207439668616207e-07
Experience - industrial - 0.017828345709874512
Experience - belt - 1.6207439668616207e-07
Experience - factory - 0.003241650008119928
Experience - construction - 0.00972462587556641
Experience - both - 0.0064831379418431685
Experience - independent - 0.0016209060412583067
Experience - programming - 0.00972462587556641
Experience - validation - 1.6207439668616207e-07
Experience - function - 0.021069833643597755
Experience - make - 1.6207439668616207e-07
Experience - regular - 1.6207439668616207e-07
Experience - architecture - 0.016207601743012893
Experience - supervisory - 0.003241650008119928
Experience - problems - 0.0016209060412583067
Experience - audits - 0.004862393974981548
Experience - productivity - 1.6207439668616207e-07
Experience - disciplines - 1.6207439668616207e-07
Experience - things - 1.6207439668616207e-07
Experience - solid - 0.0016209060412583067
Experience - next - 1.6207439668616207e-07
Experience - businessrelated - 0.0016209060412583067
Experience - evolving - 1.6207439668616207e-07
Experience - urgency - 1.6207439668616207e-07
Experience - knowledge - 0.019449089676736135
Experience - devices - 1.6207439668616207e-07
Experience - sciences - 0.0016209060412583067
Experience - detail - 0.003241650008119928
Experience - optimization - 1.6207439668616207e-07
Experience - significant - 0.003241650008119928
Experience - academic - 1.6207439668616207e-07
Experience - components - 0.0064831379418431685
Experience - become - 1.6207439668616207e-07
Experience - develops - 0.0016209060412583067
Experience - expence - 0.0064831379418431685
Experience - gathering - 0.0016209060412583067
Experience - involving - 0.0016209060412583067
Experience - distribution - 0.0016209060412583067
Experience - creative - 1.6207439668616207e-07
Experience - scope - 0.003241650008119928
Experience - goal - 0.0016209060412583067
Experience - center - 0.004862393974981548
Experience - common - 0.0016209060412583067
Experience - months - 0.0064831379418431685
Experience - vendor - 1.6207439668616207e-07
Experience - chain - 0.019449089676736135
Experience - field - 0.027552809511044236
Experience - line - 0.008103881908704789
Experience - government - 0.0016209060412583067
Experience - database - 0.01296611380928965
Experience - jenkins - 0.0016209060412583067
Experience - admin - 0.011345369842428031
Experience - define - 1.6207439668616207e-07
Experience - associated - 1.6207439668616207e-07
Experience - supports - 1.6207439668616207e-07
Experience - berufserfahrung - 0.0016209060412583067
Experience - oral - 0.0016209060412583067
Experience - nothing - 0.014586857776151272
Experience - sessions - 1.6207439668616207e-07
Experience - between - 0.003241650008119928
Experience - advantage - 0.0016209060412583067
Experience - utilizing - 0.0016209060412583067
Experience - coaching - 1.6207439668616207e-07
Experience - throughout - 1.6207439668616207e-07
Experience - case - 0.0016209060412583067
Experience - local - 1.6207439668616207e-07
Experience - dashboards - 0.0016209060412583067
Experience - incident - 0.0016209060412583067
Experience - proven - 0.0064831379418431685
Experience - overall - 0.016207601743012893
Experience - document - 0.0016209060412583067
Experience - domain - 0.016207601743012893
Experience - conduct - 0.0016209060412583067
Experience - risk - 1.6207439668616207e-07
Experience - organizations - 0.003241650008119928
Experience - javascript - 0.008103881908704789
Experience - deals - 1.6207439668616207e-07
Experience - have - 0.04538099314652207
Experience - negotiations - 0.003241650008119928
Experience - salesforce - 0.00972462587556641
Experience - their - 1.6207439668616207e-07
Experience - supervision - 1.6207439668616207e-07
Experience - json - 1.6207439668616207e-07
Experience - unit - 0.0016209060412583067
Experience - troubleshooting - 0.008103881908704789
Experience - physical - 0.003241650008119928
Experience - deep - 0.004862393974981548
Experience - problem - 0.0016209060412583067
Experience - fast - 1.6207439668616207e-07
Experience - read - 0.003241650008119928
Experience - reports - 0.003241650008119928
Experience - rest - 0.003241650008119928
Experience - large - 0.03403578537849072
Experience - certificate - 0.0016209060412583067
Experience - worked - 1.6207439668616207e-07
Experience - fastpaced - 1.6207439668616207e-07
Experience - personal - 1.6207439668616207e-07
Experience - accounts - 0.003241650008119928
Experience - minimal - 0.0016209060412583067
Experience - when - 1.6207439668616207e-07
Experience - life - 0.016207601743012893
Experience - needs - 1.6207439668616207e-07
Experience - identify - 1.6207439668616207e-07
Experience - owners - 1.6207439668616207e-07
Experience - facility - 1.6207439668616207e-07
Experience - legacy - 0.003241650008119928
Experience - handling - 0.004862393974981548
Experience - banking - 0.003241650008119928
Experience - systems - 0.04538099314652207
Experience - effectively - 0.0016209060412583067
Experience - endtoend - 0.0016209060412583067
Experience - technically - 1.6207439668616207e-07
Experience - social - 0.0016209060412583067
Experience - transactions - 0.0016209060412583067
Experience - shipping - 1.6207439668616207e-07
Experience - databases - 0.004862393974981548
Experience - this - 0.017828345709874512
Experience - name - 1.6207439668616207e-07
Experience - outside - 0.003241650008119928
Experience - consultant - 0.004862393974981548
Experience - aerospace - 0.011345369842428031
Experience - model - 0.00972462587556641
Experience - certified - 1.6207439668616207e-07
Experience - handle - 0.0016209060412583067
Experience - positive - 0.0016209060412583067
Experience - regarding - 0.0016209060412583067
Experience - collection - 0.003241650008119928
Experience - acquisition - 0.0016209060412583067
Experience - german - 0.0016209060412583067
Experience - change - 1.6207439668616207e-07
Experience - deliverables - 0.0016209060412583067
Experience - keep - 1.6207439668616207e-07
Experience - stakeholders - 1.6207439668616207e-07
Experience - analysis - 0.021069833643597755
Experience - presentations - 1.6207439668616207e-07
Experience - scripting - 0.0064831379418431685
Experience - review - 0.004862393974981548
Experience - cloud - 0.022690577610459374
Experience - influence - 1.6207439668616207e-07
Experience - response - 0.003241650008119928
Experience - standard - 0.003241650008119928
Experience - medium - 0.003241650008119928
Experience - developing - 0.019449089676736135
Experience - test - 0.048622481080245306
Experience - sets - 0.003241650008119928
Experience - will - 0.016207601743012893
Experience - interaction - 1.6207439668616207e-07
Experience - good - 0.003241650008119928
Experience - results - 0.003241650008119928
Experience - recognized - 0.003241650008119928
Experience - conversion - 1.6207439668616207e-07
Experience - value - 0.0064831379418431685
Experience - health - 0.0064831379418431685
Experience - focused - 0.008103881908704789
Experience - people - 0.0016209060412583067
Experience - interact - 1.6207439668616207e-07
Experience - computer - 0.00972462587556641
Experience - accounting - 0.01296611380928965
Experience - generation - 1.6207439668616207e-07
Experience - must - 0.0324150414116291
Experience - languages - 0.008103881908704789
Experience - party - 0.003241650008119928
Experience - itil - 1.6207439668616207e-07
Experience - growth - 0.003241650008119928
Experience - professional - 0.022690577610459374
Experience - same - 0.0016209060412583067
Experience - looking - 0.008103881908704789
Experience - scrum - 0.008103881908704789
Experience - graphics - 0.003241650008119928
Experience - they - 1.6207439668616207e-07
Experience - proactive - 1.6207439668616207e-07
Experience - dans - 1.6207439668616207e-07
Experience - candidates - 0.0016209060412583067
Experience - scalable - 0.0016209060412583067
Experience - three - 0.0064831379418431685
Experience - grow - 0.004862393974981548
Experience - primary - 1.6207439668616207e-07
Experience - chemicals - 0.00972462587556641
Experience - reporting - 0.008103881908704789
Experience - communications - 0.0016209060412583067
Experience - network - 0.017828345709874512
Experience - policies - 0.0016209060412583067
Experience - power - 0.00972462587556641
Experience - efficiently - 1.6207439668616207e-07
Experience - account - 0.02917355347790586
Experience - location - 0.0016209060412583067
Experience - vision - 0.0016209060412583067
Experience - objectives - 1.6207439668616207e-07
Experience - articulate - 1.6207439668616207e-07
Experience - while - 1.6207439668616207e-07
Experience - expertise - 0.014586857776151272
Experience - interface - 1.6207439668616207e-07
Experience - providing - 0.00972462587556641
Experience - talent - 0.0016209060412583067
Experience - handson - 0.021069833643597755
Experience - monitoring - 0.003241650008119928
Experience - desired - 0.0016209060412583067
Experience - economics - 1.6207439668616207e-07
Experience - internal - 0.00972462587556641
Experience - site - 0.0064831379418431685
Experience - execution - 0.004862393974981548
Experience - energy - 0.003241650008119928
Experience - office - 0.0016209060412583067
Experience - usability - 1.6207439668616207e-07
Experience - insurance - 0.0016209060412583067
Experience - exceptional - 1.6207439668616207e-07
Experience - report - 0.011345369842428031
Experience - extensive - 0.0064831379418431685
Experience - launch - 0.004862393974981548
Experience - quickly - 1.6207439668616207e-07
Experience - proposal - 0.0016209060412583067
Experience - done - 0.003241650008119928
Experience - selection - 1.6207439668616207e-07
Experience - roles - 0.00972462587556641
Experience - skills - 0.019449089676736135
Experience - specification - 1.6207439668616207e-07
Experience - stack - 0.0016209060412583067
Experience - managers - 0.003241650008119928
Experience - modeling - 0.0016209060412583067
Experience - owner - 0.0016209060412583067
Experience - partner - 0.0064831379418431685
Experience - engage - 0.0016209060412583067
Experience - meeting - 0.0016209060412583067
Experience - efficiency - 1.6207439668616207e-07
Experience - implemented - 1.6207439668616207e-07
Experience - green - 1.6207439668616207e-07
Experience - largescale - 0.004862393974981548
Experience - clearance - 1.6207439668616207e-07
Experience - custom - 0.04213950521279882
Experience - deadlines - 1.6207439668616207e-07
Experience - computing - 0.0016209060412583067
Experience - managing - 0.025932065544182616
Experience - existing - 1.6207439668616207e-07
Experience - completed - 1.6207439668616207e-07
Experience - recovery - 1.6207439668616207e-07
Experience - request - 1.6207439668616207e-07
Experience - adherence - 1.6207439668616207e-07
Experience - demonstrated - 0.004862393974981548
Experience - junior - 1.6207439668616207e-07
Experience - math - 0.003241650008119928
Experience - facilities - 0.0016209060412583067
Experience - military - 0.0016209060412583067
Experience - flow - 0.003241650008119928
Experience - skill - 0.024311321577320997
Experience - with - 0.24149101313677818
Experience - limited - 1.6207439668616207e-07
Experience - culture - 1.6207439668616207e-07
Experience - year - 0.8573737205441939
Experience - electrical - 0.0064831379418431685
Experience - journey - 1.6207439668616207e-07
Experience - multinational - 0.004862393974981548
Experience - tasks - 1.6207439668616207e-07
Experience - engineers - 0.003241650008119928
Experience - full - 0.016207601743012893
Experience - injection - 0.003241650008119928
Experience - challenges - 0.0016209060412583067
Experience - customers - 0.0064831379418431685
Experience - structure - 0.011345369842428031
Experience - point - 0.0016209060412583067
Experience - study - 0.0016209060412583067
Experience - estimates - 1.6207439668616207e-07
Experience - adapt - 0.0016209060412583067
Experience - globally - 1.6207439668616207e-07
Experience - acceptance - 0.0016209060412583067
Experience - into - 0.0064831379418431685
Experience - deliver - 0.021069833643597755
Experience - onsite - 0.0016209060412583067
Experience - capability - 0.004862393974981548
Experience - native - 1.6207439668616207e-07
Experience - setting - 0.0016209060412583067
Experience - members - 0.0016209060412583067
Experience - thinking - 1.6207439668616207e-07
Experience - operating - 0.0016209060412583067
Experience - address - 1.6207439668616207e-07
Experience - facilitate - 1.6207439668616207e-07
Experience - awareness - 0.003241650008119928
Experience - post - 0.0064831379418431685
Experience - stages - 1.6207439668616207e-07
Experience - pipeline - 0.003241650008119928
Experience - offerings - 1.6207439668616207e-07
Experience - motivate - 1.6207439668616207e-07
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Education - stories - 1.6420345070267584e-07
Education - understand - 0.004926267724530978
Education - hana - 1.6420345070267584e-07
Education - senior - 0.004926267724530978
Education - strategy - 1.6420345070267584e-07
Education - personnel - 1.6420345070267584e-07
Education - qualified - 0.001642198710477461
Education - developers - 1.6420345070267584e-07
Education - impact - 0.001642198710477461
Education - operational - 1.6420345070267584e-07
Education - pipelines - 1.6420345070267584e-07
Education - liaison - 1.6420345070267584e-07
Education - depth - 0.004926267724530978
Education - intelligence - 0.0032842332175042196
Education - corporate - 0.001642198710477461
Education - combination - 0.0065683022315577355
Education - other - 0.031198819836959112
Education - windows - 1.6420345070267584e-07
Education - drivers - 1.6420345070267584e-07
Education - important - 1.6420345070267584e-07
Education - fully - 1.6420345070267584e-07
Education - sourcing - 1.6420345070267584e-07
Education - qualifications - 0.024630681808852077
Education - action - 0.001642198710477461
Education - linux - 0.001642198710477461
Education - efficient - 0.001642198710477461
Education - representing - 0.01313644025966477
Education - bachelors - 0.34482741067906997
Education - device - 0.001642198710477461
Education - enhance - 1.6420345070267584e-07
Education - customer - 0.0065683022315577355
Education - improve - 1.6420345070267584e-07
Education - projects - 0.004926267724530978
Education - evaluate - 1.6420345070267584e-07
Education - proactively - 1.6420345070267584e-07
Education - standards - 0.0032842332175042196
Education - major - 0.008210336738584494
Education - also - 1.6420345070267584e-07
Education - opportunity - 0.001642198710477461
Education - enterprise - 0.0032842332175042196
Education - would - 0.004926267724530978
Education - solve - 1.6420345070267584e-07
Education - contract - 0.001642198710477461
Education - refining - 1.6420345070267584e-07
Education - distributed - 1.6420345070267584e-07
Education - feedback - 1.6420345070267584e-07
Education - current - 0.009852371245611252
Education - updates - 1.6420345070267584e-07
Education - inputs - 0.001642198710477461
Education - initiative - 0.0032842332175042196
Education - presentation - 1.6420345070267584e-07
Education - schedule - 1.6420345070267584e-07
Education - negotiate - 1.6420345070267584e-07
Education - participate - 0.001642198710477461
Education - across - 0.0065683022315577355
Education - another - 0.0032842332175042196
Education - diverse - 0.001642198710477461
Education - patterns - 1.6420345070267584e-07
Education - safety - 0.0032842332175042196
Education - evaluation - 0.001642198710477461
Education - fluent - 1.6420345070267584e-07
Education - five - 1.6420345070267584e-07
Education - cause - 1.6420345070267584e-07
Education - devops - 0.001642198710477461
Education - well - 0.0032842332175042196
Education - laws - 0.001642198710477461
Education - suite - 1.6420345070267584e-07
Education - tools - 0.004926267724530978
Education - markets - 1.6420345070267584e-07
Education - infrastructure - 1.6420345070267584e-07
Education - expert - 0.018062543780745045
Education - healthcare - 1.6420345070267584e-07
Education - education - 0.03776695786506615
Education - hardware - 0.0032842332175042196
Education - strongly - 0.004926267724530978
Education - parts - 1.6420345070267584e-07
Education - individuals - 0.001642198710477461
Education - quantitative - 0.001642198710477461
Education - functionality - 1.6420345070267584e-07
Education - stakeholder - 1.6420345070267584e-07
Education - approach - 0.001642198710477461
Education - reviews - 1.6420345070267584e-07
Education - being - 0.001642198710477461
Education - initiatives - 0.0032842332175042196
Education - visualization - 0.001642198710477461
Education - vendors - 1.6420345070267584e-07
Education - capabilities - 0.001642198710477461
Education - complex - 0.001642198710477461
Education - masters - 0.07717578603370835
Education - server - 1.6420345070267584e-07
Education - participation - 1.6420345070267584e-07
Education - honeywell - 0.001642198710477461
Education - managerial - 1.6420345070267584e-07
Education - administration - 0.031198819836959112
Education - activities - 0.0032842332175042196
Education - functions - 0.001642198710477461
Education - powerpoint - 1.6420345070267584e-07
Education - machine - 0.001642198710477461
Education - batch - 1.6420345070267584e-07
Education - skilled - 1.6420345070267584e-07
Education - around - 1.6420345070267584e-07
Education - progressive - 1.6420345070267584e-07
Education - aspects - 1.6420345070267584e-07
Education - products - 0.0065683022315577355
Education - flexible - 1.6420345070267584e-07
Education - bachelor - 0.38916234236879244
Education - statistics - 0.004926267724530978
Education - desk - 1.6420345070267584e-07
Education - structures - 1.6420345070267584e-07
Education - competitive - 1.6420345070267584e-07
Education - english - 1.6420345070267584e-07
Education - communicate - 1.6420345070267584e-07
Education - deploying - 1.6420345070267584e-07
Education - applications - 0.008210336738584494
Education - lifecycle - 1.6420345070267584e-07
Education - dynamic - 1.6420345070267584e-07
Education - regulatory - 0.0032842332175042196
Education - higher - 0.008210336738584494
Education - track - 0.0032842332175042196
Education - role - 0.004926267724530978
Education - methods - 1.6420345070267584e-07
Education - practices - 0.0032842332175042196
Education - modern - 0.001642198710477461
Education - goals - 1.6420345070267584e-07
Education - measurement - 1.6420345070267584e-07
Education - driving - 1.6420345070267584e-07
Education - implement - 0.0065683022315577355
Education - functional - 0.0032842332175042196
Education - take - 1.6420345070267584e-07
Education - basic - 0.004926267724530978
Education - experiences - 1.6420345070267584e-07
Education - bereich - 0.0032842332175042196
Education - logic - 1.6420345070267584e-07
Education - thought - 1.6420345070267584e-07
Education - honeywells - 1.6420345070267584e-07
Education - relationships - 1.6420345070267584e-07
Education - assisting - 1.6420345070267584e-07
Education - embedded - 0.0032842332175042196
Education - making - 1.6420345070267584e-07
Education - matlab - 1.6420345070267584e-07
Education - pressure - 1.6420345070267584e-07
Education - component - 0.0032842332175042196
Education - specialist - 0.001642198710477461
Education - valve - 1.6420345070267584e-07
Education - user - 1.6420345070267584e-07
Education - project - 0.027914750822905593
Education - resolve - 1.6420345070267584e-07
Education - through - 0.001642198710477461
Education - execute - 1.6420345070267584e-07
Education - understanding - 0.004926267724530978
Education - selfmotivated - 1.6420345070267584e-07
Education - require - 0.03776695786506615
Education - preparation - 1.6420345070267584e-07
Education - coding - 0.0032842332175042196
Education - annual - 0.001642198710477461
Education - vous - 0.001642198710477461
Education - storage - 1.6420345070267584e-07
Education - open - 0.001642198710477461
Education - practice - 0.0032842332175042196
Education - daily - 1.6420345070267584e-07
Education - maintaining - 0.001642198710477461
Education - maintains - 1.6420345070267584e-07
Education - saas - 1.6420345070267584e-07
Education - logical - 1.6420345070267584e-07
Education - suppliers - 1.6420345070267584e-07
Education - applying - 0.001642198710477461
Education - alignment - 1.6420345070267584e-07
Education - target - 0.001642198710477461
Education - conflict - 1.6420345070267584e-07
Education - independently - 1.6420345070267584e-07
Education - schedules - 1.6420345070267584e-07
Education - join - 0.0032842332175042196
Education - avionics - 1.6420345070267584e-07
Education - oversight - 1.6420345070267584e-07
Education - detailed - 1.6420345070267584e-07
Education - procedures - 1.6420345070267584e-07
Education - proficiency - 0.001642198710477461
Education - specifically - 0.001642198710477461
Education - direct - 0.008210336738584494
Education - matrix - 1.6420345070267584e-07
Education - balance - 1.6420345070267584e-07
Education - identifying - 1.6420345070267584e-07
Education - assigned - 0.004926267724530978
Education - content - 1.6420345070267584e-07
Education - successfully - 1.6420345070267584e-07
Education - purchasing - 1.6420345070267584e-07
Education - orientated - 1.6420345070267584e-07
Education - bitbucket - 1.6420345070267584e-07
Education - practical - 0.004926267724530978
Education - citizen - 1.6420345070267584e-07
Education - right - 1.6420345070267584e-07
Education - finance - 0.045977130400199934
Education - cross - 0.0065683022315577355
Education - bias - 1.6420345070267584e-07
Education - groups - 1.6420345070267584e-07
Education - strategic - 1.6420345070267584e-07
Education - btech - 0.016420509273718287
Education - operations - 0.009852371245611252
Education - access - 1.6420345070267584e-07
Education - external - 1.6420345070267584e-07
Education - quality - 0.009852371245611252
Education - root - 1.6420345070267584e-07
Education - meetings - 1.6420345070267584e-07
Education - implementations - 0.001642198710477461
Education - actions - 1.6420345070267584e-07
Education - selenium - 1.6420345070267584e-07
Education - supplier - 1.6420345070267584e-07
Education - assignments - 0.001642198710477461
Education - microservices - 1.6420345070267584e-07
Education - petrochemical - 0.001642198710477461
Education - professionals - 1.6420345070267584e-07
Education - level - 0.02298864730182532
Education - andor - 0.019704578287771803
Education - orientation - 1.6420345070267584e-07
Education - crossfunctional - 1.6420345070267584e-07
Education - guide - 0.001642198710477461
Education - instructions - 1.6420345070267584e-07
Education - summary - 0.001642198710477461
Education - write - 1.6420345070267584e-07
Education - includes - 0.001642198710477461
Education - sigma - 0.018062543780745045
Education - trends - 0.001642198710477461
Education - strong - 0.009852371245611252
Education - achieve - 0.001642198710477461
Education - bring - 0.0032842332175042196
Education - secure - 1.6420345070267584e-07
Education - technical - 0.06403950997749429
Education - siop - 1.6420345070267584e-07
Education - oriented - 1.6420345070267584e-07
Education - circuits - 1.6420345070267584e-07
Education - salesforcecom - 1.6420345070267584e-07
Education - pega - 0.001642198710477461
Education - priorities - 1.6420345070267584e-07
Education - domains - 1.6420345070267584e-07
Education - laboratory - 1.6420345070267584e-07
Education - interpersonal - 1.6420345070267584e-07
Education - easier - 1.6420345070267584e-07
Education - techniques - 1.6420345070267584e-07
Education - troubleshoot - 1.6420345070267584e-07
Education - statistical - 1.6420345070267584e-07
Education - communication - 0.01313644025966477
Education - plus - 0.02134661279479856
Education - effective - 0.0032842332175042196
Education - pricing - 1.6420345070267584e-07
Education - capable - 1.6420345070267584e-07
Education - queries - 0.001642198710477461
Education - design - 0.018062543780745045
Education - cissp - 0.009852371245611252
Education - creating - 1.6420345070267584e-07
Education - clear - 0.001642198710477461
Education - collaborate - 1.6420345070267584e-07
Education - usage - 1.6420345070267584e-07
Education - establish - 1.6420345070267584e-07
Education - call - 0.001642198710477461
Education - sfdc - 0.001642198710477461
Education - provides - 1.6420345070267584e-07
Education - self - 1.6420345070267584e-07
Education - perform - 0.004926267724530978
Education - manage - 0.07389171701965483
Education - leveraging - 1.6420345070267584e-07
Education - consistent - 1.6420345070267584e-07
Education - setup - 1.6420345070267584e-07
Education - lightning - 1.6420345070267584e-07
Education - sources - 0.0032842332175042196
Education - designed - 1.6420345070267584e-07
Education - lean - 0.01149440575263801
Education - mobile - 1.6420345070267584e-07
Education - candidate - 0.009852371245611252
Education - framework - 1.6420345070267584e-07
Education - decision - 1.6420345070267584e-07
Education - implementing - 0.001642198710477461
Education - integrations - 1.6420345070267584e-07
Education - close - 0.004926267724530978
Education - genesys - 0.001642198710477461
Education - sdlc - 1.6420345070267584e-07
Education - solver - 1.6420345070267584e-07
Education - installation - 1.6420345070267584e-07
Education - apply - 0.0032842332175042196
Education - include - 0.001642198710477461
Education - defense - 1.6420345070267584e-07
Education - four - 0.0032842332175042196
Education - intermediate - 0.001642198710477461
Education - business - 0.12315275223045759
Education - each - 1.6420345070267584e-07
Education - development - 0.01149440575263801
Education - science - 0.20197040856774198
Education - minimum - 0.009852371245611252
Education - without - 0.001642198710477461
Education - under - 0.009852371245611252
Education - proficient - 1.6420345070267584e-07
Education - added - 1.6420345070267584e-07
Education - types - 1.6420345070267584e-07
Education - corrective - 1.6420345070267584e-07
Education - along - 0.001642198710477461
Education - designs - 0.001642198710477461
Education - collaboration - 0.001642198710477461
Education - spring - 1.6420345070267584e-07
Education - program - 0.018062543780745045
Education - revenue - 1.6420345070267584e-07
Education - high - 0.04105102687911966
Education - excellent - 0.001642198710477461
Education - solutions - 0.004926267724530978
Education - member - 0.001642198710477461
Education - code - 0.0032842332175042196
Education - verbal - 1.6420345070267584e-07
Education - should - 0.001642198710477461
Education - preferred - 0.08045985504776187
Education - able - 0.01313644025966477
Education - physics - 0.019704578287771803
Education - boot - 1.6420345070267584e-07
Education - anticipate - 1.6420345070267584e-07
Education - testing - 0.004926267724530978
Education - sustainable - 1.6420345070267584e-07
Education - stake - 1.6420345070267584e-07
Education - plans - 1.6420345070267584e-07
Education - sites - 1.6420345070267584e-07
Education - ensuring - 1.6420345070267584e-07
Education - requirement - 0.01149440575263801
Education - solving - 0.0032842332175042196
Education - state - 1.6420345070267584e-07
Education - assurance - 0.001642198710477461
Education - configuration - 1.6420345070267584e-07
Education - workflows - 1.6420345070267584e-07
Education - small - 1.6420345070267584e-07
Education - requests - 1.6420345070267584e-07
Education - desktop - 1.6420345070267584e-07
Education - translate - 1.6420345070267584e-07
Education - ideal - 0.0032842332175042196
Education - consultative - 1.6420345070267584e-07
Education - inventory - 1.6420345070267584e-07
Education - approaches - 1.6420345070267584e-07
Education - drives - 1.6420345070267584e-07
Education - teamwork - 1.6420345070267584e-07
Education - available - 0.001642198710477461
Education - help - 1.6420345070267584e-07
Education - currently - 0.0065683022315577355
Education - language - 1.6420345070267584e-07
Education - others - 1.6420345070267584e-07
Education - certification - 0.08210188955478863
Education - debugging - 1.6420345070267584e-07
Education - sense - 1.6420345070267584e-07
Education - apex - 1.6420345070267584e-07
Education - release - 1.6420345070267584e-07
Education - familiarity - 1.6420345070267584e-07
Education - similar - 0.01149440575263801
Education - meet - 0.001642198710477461
Education - problemsolving - 1.6420345070267584e-07
Education - warehousing - 0.0032842332175042196
Education - trade - 0.001642198710477461
Education - aspnet - 1.6420345070267584e-07
Education - appropriate - 0.001642198710477461
Education - previous - 1.6420345070267584e-07
Education - microsoft - 0.001642198710477461
Education - benefits - 1.6420345070267584e-07
Education - demonstrate - 0.004926267724530978
Education - about - 1.6420345070267584e-07
Education - facilitation - 1.6420345070267584e-07
Education - them - 0.01149440575263801
Education - progress - 1.6420345070267584e-07
Education - mindset - 1.6420345070267584e-07
Education - ambiguous - 0.001642198710477461
Education - active - 1.6420345070267584e-07
Education - closely - 0.004926267724530978
Education - transfer - 0.001642198710477461
Education - discipline - 0.04105102687911966
Education - travel - 0.001642198710477461
Education - order - 0.0032842332175042196
Education - availability - 1.6420345070267584e-07
Education - innovation - 1.6420345070267584e-07
Education - first - 1.6420345070267584e-07
Education - background - 0.008210336738584494
Education - responsibilities - 0.001642198710477461
Education - undergraduate - 0.004926267724530978
Education - organized - 1.6420345070267584e-07
Education - delivery - 0.001642198710477461
Education - planning - 0.001642198710477461
Education - fire - 1.6420345070267584e-07
Education - executive - 1.6420345070267584e-07
Education - great - 0.0032842332175042196
Education - sizing - 1.6420345070267584e-07
Education - attention - 0.001642198710477461
Education - clients - 1.6420345070267584e-07
Education - training - 0.004926267724530978
Education - deployment - 1.6420345070267584e-07
Education - digital - 0.0065683022315577355
Education - applicable - 0.001642198710477461
Education - region - 1.6420345070267584e-07
In [20]:
# printing the train and test accuracy

print("Training Accuracy: ", predict(train, 
                                     cond_prob, 
                                     words_prob, 
                                     prior_prob))

print("Testing Accuracy: ", predict(dev, 
                                    cond_prob, 
                                    words_prob, 
                                    prior_prob))
Training Accuracy:  0.7233333333333334
Testing Accuracy:  0.5841666666666666
In [21]:
print("Top 10 words for Each Type")
print("-------------------------------")
for i in list(cond_prob.keys()):
    print(i)
    print(list(dict(sorted(cond_prob[i].items(), key=lambda item: item[1], reverse=True)).keys())[:10])
Top 10 words for Each Type
-------------------------------
Experience
['year', 'experience', 'years', 'with', 'minimum', 'work', 'develop', 'development', 'manage', 'tech']
Responsibility
['with', 'manage', 'work', 'develop', 'team', 'business', 'will', 'product', 'support', 'tech']
Skill
['experience', 'with', 'knowledge', 'work', 'manage', 'management', 'tool', 'data', 'develop', 'skill']
SoftSkill
['skill', 'skills', 'ability', 'communication', 'with', 'strong', 'excel', 'team', 'manage', 'excellent']
Requirement
['experience', 'with', 'ability', 'work', 'knowledge', 'must', 'require', 'skill', 'able', 'have']
Education
['degree', 'bachelor', 'engine', 'engineer', 'engineering', 'bachelors', 'science', 'computer', 'tech', 'related']

Conditional Probabilities with Smoothing 0.01

In [22]:
# Conditional Probabilities of The Word in The Type

cond_prob = cond_proba(train, vocab, smoothing=0.01)

print("--- Conditional probabilities of the word in the category ---")

for category in cond_prob.keys():
    for i,j in zip(cond_prob[category].keys(),
                   cond_prob[category].values()):
        if(j != 0.0):
            print(category, "-", i, "-", j)
100%|████████████████████████████████████████████████████████████████████████████████████| 6/6 [00:13<00:00,  2.22s/it]
--- Conditional probabilities of the word in the category ---
Experience - additional - 0.006498557676725116
Experience - ownership - 1.620587949308009e-05
Experience - system - 0.06483972385181344
Experience - parties - 1.620587949308009e-05
Experience - thorough - 1.620587949308009e-05
Experience - matter - 0.0016367938288010893
Experience - architect - 0.025945613068421226
Experience - architectures - 0.0016367938288010893
Experience - java - 0.030807376916345254
Experience - player - 1.620587949308009e-05
Experience - hands - 0.027566201017729237
Experience - designing - 0.004877969727417107
Experience - demonstrates - 1.620587949308009e-05
Experience - supporting - 0.006498557676725116
Experience - postsecondary - 1.620587949308009e-05
Experience - selling - 0.008119145626033126
Experience - ideally - 0.008119145626033126
Experience - word - 0.0016367938288010893
Experience - authority - 0.0032573817781090977
Experience - python - 0.009739733575341135
Experience - nice - 0.0032573817781090977
Experience - aptitude - 1.620587949308009e-05
Experience - assets - 0.0016367938288010893
Experience - resolution - 1.620587949308009e-05
Experience - mapping - 1.620587949308009e-05
Experience - influencing - 1.620587949308009e-05
Experience - servers - 0.0016367938288010893
Experience - support - 0.03242796486565326
Experience - scale - 0.014601497423265162
Experience - space - 0.014601497423265162
Experience - technologies - 0.012980909473957152
Experience - some - 0.006498557676725116
Experience - stream - 0.0016367938288010893
Experience - equivalent - 0.014601497423265162
Experience - longterm - 1.620587949308009e-05
Experience - html - 0.006498557676725116
Experience - sound - 0.0016367938288010893
Experience - which - 0.004877969727417107
Experience - individual - 0.0016367938288010893
Experience - issues - 0.0032573817781090977
Experience - accuracy - 1.620587949308009e-05
Experience - either - 0.0016367938288010893
Experience - specifications - 1.620587949308009e-05
Experience - cases - 1.620587949308009e-05
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In [23]:
# printing the train and test accuracy

print("Training Accuracy: ", predict(train, 
                                     cond_prob, 
                                     words_prob, 
                                     prior_prob))

print("Testing Accuracy: ", predict(dev, 
                                    cond_prob, 
                                    words_prob, 
                                    prior_prob))
Training Accuracy:  0.7186111111111111
Testing Accuracy:  0.6066666666666667
In [25]:
print("Top 10 words for Each Type")
print("-------------------------------")
for i in list(cond_prob.keys()):
    print(i)
    test = dev.head(600)
    print(list(dict(sorted(cond_prob[i].items(), key=lambda item: item[1], reverse=True)).keys())[:10])
Top 10 words for Each Type
-------------------------------
Experience
['year', 'experience', 'years', 'with', 'minimum', 'work', 'develop', 'development', 'manage', 'tech']
Responsibility
['with', 'manage', 'work', 'develop', 'team', 'business', 'will', 'product', 'support', 'tech']
Skill
['experience', 'with', 'knowledge', 'work', 'manage', 'management', 'tool', 'data', 'develop', 'skill']
SoftSkill
['skill', 'skills', 'ability', 'communication', 'with', 'strong', 'excel', 'team', 'manage', 'excellent']
Requirement
['experience', 'with', 'ability', 'work', 'knowledge', 'must', 'require', 'skill', 'able', 'have']
Education
['degree', 'bachelor', 'engine', 'engineer', 'engineering', 'bachelors', 'science', 'computer', 'tech', 'related']

Train Test with Smoothing using the best value for effect of smoothing. i.e, 0.001

In [26]:
# printing the train and test accuracy

print("Training Accuracy: ", predict(train, 
                                     cond_prob, 
                                     words_prob, 
                                     prior_prob))

print("Testing Accuracy: ", predict(test, 
                                    cond_prob, 
                                    words_prob, 
                                    prior_prob))
Training Accuracy:  0.7186111111111111
Testing Accuracy:  0.5916666666666667
In [ ]: