seed words 0.00343507
english words 0.0031491490000000004
seed word 0.00300564
sensory words 0.002787509
candidate words 0.0027655120000000004
sensorial words 0.0027543420000000003
stop words 0.0026462060000000003
onomatopoeic words 0.002645525
words 0.00242206
word association 0.002375026
candidate word 0.002336082
sense seed 0.0018502689999999999
noun seed 0.0016691
semantic information 0.001529102
sense category 0.001528772
semantic similarity 0.001513631
seed synset 0.00142195
sense information 0.001408418
semantic analysis 0.001386532
seed sets 0.001382468
seed list 0.001382305
sensory seed 0.0013784589999999998
new seed 0.001350273
sensorial seed 0.0013452919999999999
seed synsets 0.001307071
seed lists 0.001285436
specific sense 0.001282826
sense classifier 0.001278293
distinct seed 0.001274425
seed expansion 0.0012460869999999999
unique seed 0.0012392339999999999
seed smell 0.001235168
sorial seed 0.001235168
sense class 0.001234001
semantic frame 0.0012212730000000002
semantic rela 0.0011975710000000001
semantic expansion 0.00119102
semantic roles 0.001186586
sense seeds 0.001185986
pos information 0.001153855
association lexicon 0.001124503
sense cat 0.001107886
different levels 0.001088239
sense events 0.001083575
sense classifica 0.0010806470000000001
frequency data 0.001079612
sensorial lexicon 0.001074389
computational method 0.0010710960000000001
expansion sense 0.001070336
sense modalities 0.0010648510000000001
sense event 0.001064084
sense impression 0.001061205
sentiment orientations 0.0010448
emotion lexicon 0.0010382149999999999
standard data 0.0010339379999999999
final lexicon 0.001029006
lexicon construction 0.001026179
different sizes 0.001025781
sensory data 0.001010815
corpus statistics 9.93299E-4
tion method 9.83137E-4
subjectivity lexicon 9.68982E-4
affect lexicon 9.68321E-4
rial lexicon 9.64719E-4
english newswire 9.561109999999999E-4
english lemmas 9.51218E-4
english giga 9.51218E-4
linguistic data 9.49982E-4
data con 9.483219999999999E-4
relation similarity 9.47992E-4
computational methods 9.445810000000001E-4
noun tree 9.178319999999999E-4
probabilistic method 9.167040000000001E-4
sensorial information 9.03441E-4
pos role 8.96019E-4
sensorial feature 8.958620000000001E-4
language models 8.9511E-4
lexical relations 8.92819E-4
statistical information 8.89364E-4
mutual information 8.892920000000001E-4
similarity measure 8.833770000000001E-4
noun glitter 8.82717E-4
data sparsity 8.780439999999999E-4
many computa 8.76401E-4
gigaword data 8.74852E-4
small set 8.724340000000001E-4
cognitive feature 8.536630000000001E-4
text modification 8.52712E-4
lexical level 8.39845E-4
computational approach 8.38475E-4
human senses 8.378E-4
class classifier 8.377759999999999E-4
syntactic features 8.375349999999999E-4
sense 8.37259E-4
sensorial model 8.363470000000001E-4
similar approach 8.32415E-4
low frequency 8.24789E-4
first iteration 8.22939E-4
matic text 8.2204E-4
sentiment 8.21303E-4
