word features 0.002194053
document frequency 0.0018398870000000001
sentiment analysis 0.001679182
document representation 0.001678331
document relevance 0.001652228
feature vector 0.0016408870000000002
binary document 0.001627365
entire document 0.0016090219999999999
inverse document 0.001597394
space model 0.001591379
whole document 0.001591243
sentiment classification 0.001587645
document fre 0.001586786
words feature 0.001577425
document repre 0.001576267
document rep 0.001572888
work sentiment 0.001572267
document relevancy 0.00157219
probabilistic model 0.001469059
query term 0.001404245
document 0.00135874
ing documents 0.001346701
sentiment layer 0.001337565
vector space 0.001335817
term frequency 0.001326487
training set 0.001317937
term weighting 0.001307294
extra sentiment 0.0013037980000000001
original documents 0.001300727
term weight 0.001290105
training data 0.001284417
feature set 0.001261752
tion words 0.001222664
topic classification 0.001219576
complex features 0.001202847
words representation 0.001198727
model 0.00119816
other class 0.001185668
support vector 0.001177172
vector machines 0.001168676
feature weighting 0.001160243
different weighting 0.0011452440000000001
contrast documents 0.001143739
notation term 0.001133313
above features 0.001128791
feature weights 0.001127703
term table 0.001126221
research topic 0.0011242819999999999
weighting function 0.001121305
reference words 0.001112389
weighting approach 0.00111109
unique words 0.001106236
raw term 0.001100008
information retrieval 0.00109885
data set 0.001093406
sentiment 0.00108821
sophisticated term 0.001080306
term fre 0.001073386
original approach 0.001062418
cated term 0.001058467
ratio feature 0.001010182
syntactic feature 0.0010029280000000002
sufficient training 0.001002558
training docu 0.001001534
smart retrieval 9.98162E-4
whole text 9.851410000000001E-4
retrieval system 9.83223E-4
text spans 9.75845E-4
text coher 9.66688E-4
adjacent text 9.66688E-4
rationale text 9.66688E-4
feature selection 9.56293E-4
frequency weighting 9.43101E-4
vector 9.42598E-4
sophisticated feature 9.33255E-4
other domains 9.30825E-4
quency feature 9.284920000000001E-4
analysis approaches 9.22672E-4
supervised learning 9.173E-4
learning techniques 9.16669E-4
learning approaches 9.1376E-4
feature selec 9.1296E-4
frequency weights 9.10561E-4
other hand 9.00555E-4
same subjectivity 8.985499999999999E-4
idf value 8.97859E-4
quency function 8.89554E-4
ing weights 8.8867E-4
documents 8.87445E-4
words 8.79136E-4
query representation 8.784959999999999E-4
cost function 8.76843E-4
sublinear function 8.736E-4
machine learning 8.71419E-4
classification accuracy 8.67376E-4
approach acc 8.65885E-4
features 8.61873E-4
mation retrieval 8.60304E-4
standard data 8.591899999999999E-4
set size 8.57186E-4
