sentiment words 0.00395897
sentiment polarity 0.0037271
unknown word 0.003099489
sentiment classification 0.002939174
sentiment analysis 0.00292814
sentiment lexicon 0.002764037
word frequency 0.002739276
human sentiment 0.002723463
word class 0.00272172
word classes 0.002666614
possible sentiment 0.0026220870000000004
sentiment polarities 0.0026183070000000003
word clus 0.002605447
neutral sentiment 0.0025912210000000003
entire word 0.00258606
sentiment extraction 0.002585703
sentiment category 0.002585257
whole word 0.002584987
core sentiment 0.002582954
word freedomfortibet 0.002580317
known sentiment 0.002577855
sentiment grammar 0.002574484
sentiment propagation 0.002567278
prior sentiment 0.002566383
fuzzy sentiment 0.0025476780000000003
sentiment stem 0.002547488
sentiment indicator 0.0025437420000000003
sentiment tagging 0.002532874
sentiment clues 0.002528399
sentiment judgements 0.002510788
sentiment markers 0.002504544
sentiment lexica 0.0025008860000000003
sentiment carriers 0.0025008860000000003
sentiment carri 0.0025008860000000003
sentiment salience 0.0025008860000000003
unknown words 0.002448639
sentiment 0.00226521
polarity classification 0.002135854
seed words 0.002041039
neutral words 0.002019771
single words 0.002010038
known words 0.002006405
polysyllabic words 0.0019293790000000002
infrequent words 0.0019293790000000002
human polarity 0.001920143
way polarity 0.001907067
class polarity 0.001839
polarity scores 0.001809144
neutral polarity 0.001787901
polarity constraints 0.001775904
separate polarity 0.001770029
prior polarity 0.001763063
grammatical polarity 0.001742796
polarity conflict 0.001735937
global polarity 0.001732777
polarity reversal 0.0017139479999999999
polarity judgements 0.001707468
polarity coefficients 0.001706656
polarity rankings 0.001703134
polarity markers 0.0017012239999999999
polarity rever 0.001697745
polarity coefficient 0.001697745
words 0.00169376
polarity 0.00146189
learning method 0.001289901
classification task 0.001192434
different pos 0.0011846
spin model 0.0011319540000000001
way classification 0.001119141
unsupervised method 0.001081774
classification algorithm 0.001072063
latent semantic 0.001069789
tering method 0.001019404
classification errors 0.001014646
training set 9.88097E-4
semantic knowledge 9.7183E-4
semantic properties 9.69234E-4
classification tasks 9.53443E-4
semantic analy 9.321360000000001E-4
correct analysis 9.30261E-4
training data 8.561300000000001E-4
work past 8.53637E-4
following distribution 8.492059999999999E-4
syllabified set 8.35728E-4
related work 8.34148E-4
supervised learning 8.233499999999999E-4
web documents 8.17733E-4
subjective language 8.143740000000001E-4
derivation table 8.107440000000001E-4
punctuation characters 8.049820000000001E-4
model 8.02686E-4
neighbourhood matrix 7.947220000000001E-4
web search 7.89549E-4
evaluation results 7.85138E-4
method 7.80671E-4
past research 7.738109999999999E-4
linguistic meaning 7.70349E-4
first classifier 7.44495E-4
japanese web 7.39927E-4
auxiliary lexicon 7.35446E-4
