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negative opinion 0.002577639
other opinion 0.0023978289999999998
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opinion labels 0.002166991
sentence classification 0.00211819
sentence polarity 0.0021152899999999997
opinion class 0.00208666
opinion documents 0.002031812
polarity classification 0.00201732
opinion sen 0.002007288
opinion question 0.002001071
opinion detection 0.001996959
negative words 0.001975479
neutral opinion 0.001961731
such words 0.001958248
finding opinion 0.001926036
separate opinion 0.001925071
opinion detec 0.001891297
opinion ques 0.001891146
automated opinion 0.001888957
opinion holder 0.001885477
opinion classifications 0.001884384
different features 0.001724737
text classification 0.0017217460000000001
polarity information 0.0016998109999999999
opinion 0.00165628
fact sentences 0.0016440500000000002
positive words 0.00163042
sentence level 0.001601071
polarity scores 0.0015419119999999999
factual sentences 0.001537939
classification performance 0.0015281370000000002
classification labels 0.001520821
sentences anno 0.001518084
successive sentences 0.001511865
missing sentences 0.001504555
subjective words 0.001503383
first model 0.0014983829999999998
negative reviews 0.001492222
orientation words 0.001480496
document classification 0.001479602
high classification 0.001472777
sentence similarity 0.001451161
entire sentence 0.001444913
polarity score 0.001441069
negative opinions 0.001433272
classification system 0.001414878
classification accuracy 0.0013998930000000001
ion sentence 0.001395845
polarity fact 0.0013753099999999998
classification table 0.001374838
data set 0.0013739960000000002
single words 0.001365745
individual sentence 0.001363385
seed words 0.00136298
sentence classi 0.001361027
correct classification 0.001360523
shared words 0.001355692
first approach 0.001338053
arguable sentence 0.0013366089999999999
word log 0.001324615
further classification 0.001322079
itive words 0.001309528
different approaches 0.00130086
ative words 0.001294698
classification tasks 0.001291765
oriented words 0.001287681
ented words 0.001284025
aggregate polarity 0.0012776909999999999
sentences 0.00127595
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negative pairs 0.001254205
different topics 0.001247312
tivity classification 0.0012425280000000001
different top 0.001234852
different combinations 0.0012175369999999999
different sources 0.001214799
features class 0.001205628
negative adjectives 0.00119425
different sub 0.001184225
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lexical features 0.001175651
training data 0.001175192
negative particles 0.001166949
negative seeds 0.001156422
negative movie 0.0011561409999999999
such metadata 0.001154924
additional features 0.001154562
other phrases 0.001146246
other articles 0.001129658
feature set 0.001120507
sentence 0.00110808
same topic 0.001089065
positive opinions 0.001088213
multiple features 0.0010762229999999998
similar set 0.001055674
words 0.00105412
training set 0.0010533299999999999
