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word polarity 0.00387044
sentiment words 0.0038634100000000003
sentiment polarity 0.00347864
polarity words 0.00333213
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word set 0.003051422
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seed word 0.002861941
different sentiment 0.002822144
key word 0.002821768
dataset word 0.002813465
large word 0.002808302
word relations 0.002803441
word distribution 0.002752696
candidate word 0.0027384799999999997
neutral word 0.002718134
word list 0.0026610089999999998
word identification 0.0026608079999999997
word importance 0.002639983
sentiment lexicon 0.0026131410000000002
sentiment analysis 0.002561775
sentiment value 0.002550785
negative words 0.002546009
many sentiment 0.00248633
positive words 0.0024847849999999998
sentiment information 0.002472144
sentiment values 0.002465209
sentiment polarities 0.002427521
prior sentiment 0.002351333
seed words 0.002323631
sentiment labels 0.002300311
sentiment lexicons 0.0022920040000000003
sentiment matching 0.002245176
fies sentiment 0.002243396
candidate words 0.00220017
component words 0.0021840089999999998
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portant words 0.002107561
consecutive words 0.002096765
bold words 0.002096765
polarity value 0.002019505
sentiment 0.00200496
document polarity 0.001985765
words 0.00185845
polarity estimate 0.001781697
labeled polarity 0.001771362
polarity labels 0.001769031
real polarity 0.001768468
sentence polarity 0.001727522
polarity val 0.001713473
probable polarity 0.001713021
recommended polarity 0.001712312
mon polarity 0.001712312
polarity belief 0.001712312
optimization model 0.0015140829999999998
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above model 0.0014573449999999999
walk model 0.001421472
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timization model 0.001332703
value vector 0.001315297
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document set 0.001166747
positive document 0.00113842
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model 0.00108597
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graph 0.00103366
research work 0.001015995
tweeter classification 9.85735E-4
first work 9.85688E-4
such algorithms 9.81083E-4
optimization problem 9.63441E-4
review data 9.53364E-4
negative ones 9.532189999999999E-4
negative list 9.51808E-4
document feature 9.367640000000001E-4
document polarities 9.34646E-4
several experiments 9.29352E-4
mutual information 9.291E-4
document dataset 9.287900000000001E-4
first step 9.202959999999999E-4
first dataset 9.17267E-4
positive documents 9.14874E-4
previous research 9.094179999999999E-4
high value 9.05076E-4
positive sample 8.93736E-4
subjective lexicon 8.92873E-4
such analy 8.92774E-4
such phenomenon 8.92774E-4
feature matrix 8.80302E-4
movie review 8.801880000000001E-4
first measure 8.65385E-4
movie reviews 8.59045E-4
