semantic orientation 0.002313949
average semantic 0.002312671
semantic association 0.002116511
semantic orientations 0.002058883
semantic ori 0.002057401
semantic orienta 0.002057388
semantic orien 0.002055507
semantic associa 0.002053978
semantic 0.00181653
phrase near 0.0016466039999999999
sample phrase 0.001610159
review classification 0.001592543
review rating 0.001585737
negative review 0.001574979
positive review 0.001540177
average phrases 0.001489561
reviews average 0.0014752239999999998
movie reviews 0.001411757
movie review 0.00140423
other features 0.001402338
specific words 0.0013785260000000001
star review 0.0013744500000000002
travel reviews 0.00137284
travel review 0.001365313
negative sentiment 0.001354314
phrase 0.00135206
reference words 0.00134493
review number 0.001325191
specific phrases 0.0013228760000000002
positive sentiment 0.001319512
consecutive words 0.0012970120000000002
individual phrases 0.0012861130000000002
review accuracy 0.001254449
sample phrases 0.001251519
automotive review 0.0012363600000000001
opinion rating 0.001233119
extract phrases 0.001232681
mining reviews 0.001232279
extreme reviews 0.0012242899999999998
review automobiles 0.0012236500000000002
automobile reviews 0.001223269
automated review 0.001219265
cancun reviews 0.0012178059999999999
ions reviews 0.0012178059999999999
sifying reviews 0.0012178059999999999
bile reviews 0.0012178059999999999
classification algorithm 0.001210873
good movie 0.001210772
recommended review 0.0012102880000000001
written review 0.0012102880000000001
classification system 0.001208964
rating system 0.001202158
training data 0.001177162
classification work 0.0011469190000000002
classification average 0.001117128
text classification 0.001114491
negative orientation 0.0011008419999999999
ing algorithm 0.0010932569999999998
first word 0.001089453
positive orientation 0.0010660399999999999
good banking 0.001058402
words 0.00104907
second word 0.001039939
word second 0.001039939
testing data 0.00102962
good bank 0.0010290949999999998
good associations 0.001026454
other problems 0.001022984
good automobile 0.001022284
good indicators 0.001021983
good will 0.001019814
good vacation 0.001019814
good beaches 0.001019814
star rating 0.001017075
other hand 0.0010149809999999999
third word 0.001012304
word third 0.001012304
other bank 0.001011146
such summary 0.001002375
view classification 9.99045E-4
such nns 9.9357E-4
phrases 9.9342E-4
negative adjectives 9.9212E-4
learning algorithm 9.8882E-4
reviews 9.79083E-4
evaluative sentences 9.78027E-4
word association 9.73526E-4
experiments table 9.71704E-4
review 9.71556E-4
reference word 9.69405E-4
mutual information 9.618350000000001E-4
positive adjectives 9.57318E-4
supervised classification 9.4753E-4
information retrieval 9.41312E-4
different domains 9.3743E-4
further work 9.26461E-4
numerical rating 9.24116E-4
new domain 9.07133E-4
special lexicon 9.02341E-4
negative reference 8.99283E-4
