polarity words 0.00419875
polarity lexicon 0.00402542
polarity classification 0.003390588
negative polarity 0.003388109
polarity information 0.003275228
prior polarity 0.003243301
polarity lexicons 0.0031866019999999998
simple polarity 0.003134223
new polarity 0.00312871
neutral polarity 0.003103842
polarity value 0.003091677
single polarity 0.003080565
tive polarity 0.003061332
level polarity 0.003042018
majority polarity 0.003041999
building polarity 0.0030287689999999997
purpose polarity 0.003023625
polarity class 0.0030209819999999997
likely polarity 0.003017782
possible polarity 0.0030110099999999997
overall polarity 0.003008452
polarity lexi 0.003007864
ity polarity 0.003006891
polarity classifiers 0.002992228
default polarity 0.002984763
right polarity 0.002982489
polarity lex 0.002977805
polarity classifi 0.002975921
ative polarity 0.002974016
prominent polarity 0.002973752
ternative polarity 0.002972517
necessary polarity 0.002972517
polarity 0.00274312
sentiment classification 0.002153418
negative words 0.002100619
sentiment analysis 0.002018613
other words 0.002002588
positive words 0.001977341
function words 0.00186643
neutral words 0.001816352
opposite sentiment 0.00179563
content words 0.001703127
tent words 0.0016863820000000002
new lexicon 0.00166789
lexicon construction 0.001589885
original lexicon 0.0015836140000000001
lexicon adaptation 0.0015808290000000002
novel lexicon 0.0015786390000000002
ity lexicon 0.001546071
initial lexicon 0.00154322
larity lexicon 0.0015339630000000002
current lexicon 0.0015333290000000002
inal lexicon 0.001515389
jectivity lexicon 0.0015119640000000002
lexicon adapta 0.0015119640000000002
ified lexicon 0.0015119640000000002
sentiment 0.00150595
certain word 0.001476025
neutral word 0.001458762
words 0.00145563
lar word 0.001334995
word negator 0.001329105
lexicon 0.0012823
bipartite graph 0.001207544
classification task 0.0011983850000000002
analysis task 0.0010635800000000002
classification algorithm 0.001059101
negative weight 0.001052445
test data 0.001051299
classification performance 0.001034198
training data 0.00102492
different types 0.00101404
training set 0.001010319
positive results 9.9914E-4
opinion expression 9.90659E-4
nlp task 9.84132E-4
graph 9.59179E-4
previous work 9.54304E-4
same training 9.49056E-4
level classification 9.46366E-4
such cases 9.33443E-4
same expression 9.316629999999999E-4
basic features 9.31084E-4
opinion expressions 9.278120000000001E-4
negative ones 9.24411E-4
negative class 9.228509999999999E-4
ity classification 9.11239E-4
such lexi 9.09223E-4
larity classification 8.991310000000001E-4
negative else 8.95407E-4
objective function 8.88064E-4
many number 8.83945E-4
opinion expres 8.803120000000001E-4
particular data 8.71924E-4
opinion mining 8.63192E-4
other expressions 8.61426E-4
development set 8.583E-4
other hand 8.531109999999999E-4
adaptation task 8.49446E-4
following constraint 8.324840000000001E-4
