sentiment analysis 0.0027677970000000002
positive sentiment 0.002764911
general sentiment 0.002735721
sentiment lexicons 0.002599302
single sentiment 0.002598601
contrary sentiment 0.002558444
domain feature 0.0024119199999999997
polarity feature 0.00236763
sentiment 0.00229881
document polarity 0.002108473
feature vector 0.002069468
polarity values 0.001828026
polarity value 0.001806942
camera domain 0.00173763
ontology domain 0.001700916
domain ontology 0.001700916
training data 0.0016758469999999998
building domain 0.001631202
overall polarity 0.001618099
ment polarity 0.00159252
domain knowledge 0.001592518
weighted polarity 0.001588145
domain ontol 0.001573655
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weight vector 0.00154999
final polarity 0.001531367
polarity reversal 0.001514155
critical feature 0.0014877369999999998
learning system 0.001470254
individual words 0.0014124300000000001
key features 0.001365063
various features 0.0013509899999999998
svm classifier 0.001307717
domain 0.00128623
word con 0.0012852010000000001
additional features 0.001263403
overall performance 0.001258491
polarity 0.00124194
word storage 0.0012417110000000002
features generat 0.0012390909999999999
different annotators 0.001195267
baseline system 0.001182041
different levels 0.001177039
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linear model 0.0011730080000000001
machine learning 0.001170465
input document 0.001145829
learning weights 0.00113022
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different dimen 0.00112954
document thwarted 0.00112721
feature 0.00112569
words 0.00111728
large amount 0.0011072579999999999
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system scores 0.001099639
negative values 0.001097382
based learning 0.001090159
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approach manual 0.001074803
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positive values 0.001052187
naïve approach 0.001050065
results experiments 0.0010345279999999998
nlp problem 0.00102134
system input 0.001007605
product reviews 0.001005961
training corpo 9.96364E-4
optimization problem 9.95333E-4
class weight 9.858879999999999E-4
features 9.77703E-4
difficult problem 9.72257E-4
review corpora 9.64826E-4
corresponding review 9.47199E-4
vector 9.43778E-4
random base 9.34599E-4
same level 9.22544E-4
entire review 9.165590000000001E-4
main ontology 9.15023E-4
opinion holder 9.12225E-4
classification 9.12177E-4
values drop 9.057819999999999E-4
perimental results 9.05753E-4
performance 8.82332E-4
previous work 8.70235E-4
document 8.66533E-4
previous step 8.58402E-4
minimum values 8.47513E-4
dependency parse 8.441289999999999E-4
last value 8.43082E-4
auc value 8.35924E-4
model 8.30027E-4
entire dataset 8.22228E-4
language technology 8.19312E-4
total number 8.17144E-4
ontology node 8.16298E-4
indian language 8.1452E-4
overall product 8.11602E-4
random baseline 8.07715E-4
