word distribution 0.0031714430000000004
emotion words 0.0030192
emotion topic 0.00283541
specific word 0.002664263
word distributions 0.002643789
seed word 0.0026319850000000003
current word 0.0026208620000000003
emit word 0.0025735040000000003
other emotion 0.002312773
emotion annotation 0.002258822
emotion lexicon 0.002236123
emotion topics 0.002215828
work emotion 0.002206814
same emotion 0.002200189
previous emotion 0.002183485
emotion classification 0.002175323
lda model 0.002126939
model parameters 0.002106082
emotion lexicons 0.002104487
emotion categories 0.0021028180000000002
explicit emotion 0.002102036
popular emotion 0.002099983
model output 0.002089738
fear emotion 0.0020880960000000002
model description 0.002083485
emotion example 0.002068686
emotion category 0.002066993
quality emotion 0.002052976
emotion sentiment 0.002044147
emotion dictionary 0.002040231
novel emotion 0.002031829
emotion lex 0.00202812
independent emotion 0.002026908
ealda model 0.00202456
emotion lexi 0.002021155
emotion cate 0.002020999
emotion classifi 0.00201961
emotion classi 0.002016113
emotion classifica 0.002012669
emotion clas 0.002011147
seeds emotion 0.002011147
ith emotion 0.002011147
graphical model 0.002000362
model gener 0.0019964139999999997
erative model 0.0019964139999999997
emotion 0.0017829
model 0.0017682
emotional words 0.001768199
words algorithm 0.001737482
seed words 0.0015256050000000002
training data 0.001524128
example words 0.0015220860000000002
sentiment words 0.0014975470000000001
related words 0.0014922330000000001
words list 0.001481497
aware words 0.001474852
distinct words 0.001474578
stop words 0.001465404
emotional data 0.0014590419999999998
data set 0.00143757
test data 0.001436373
draw topic 0.0013466770000000001
topic class 0.001343604
dirichlet distribution 0.001309682
topic numberm 0.00128286
words 0.0012363
different emotions 0.001225371
annotated data 0.001224834
data sets 0.001186629
data preprocessing 0.001156392
personalized data 0.001156392
multinomial distribution 0.001135704
distribution mult 0.0010648670000000002
natural language 0.001059019
topic 0.00105251
language toolkit 0.001031874
different domains 9.8494E-4
different researchers 9.7845E-4
different meth 9.73771E-4
annotation task 9.14024E-4
inference algorithm 8.966619999999999E-4
prior information 8.79434E-4
such lex 8.61128E-4
emotional lexicons 8.53486E-4
other lexicons 8.514600000000001E-4
english dataset 8.333360000000001E-4
tail probability 8.328529999999999E-4
specific set 8.3201E-4
classification task 8.305249999999999E-4
distribution 8.28763E-4
previous work 8.24499E-4
latent dirichlet 8.211220000000001E-4
gibbs sampling 8.2005E-4
classification results 8.19967E-4
standard lda 8.15637E-4
corpus vocabulary 8.00492E-4
small set 7.92638E-4
learning algorithm 7.87238E-4
tion lexicon 7.79788E-4
specific lexicon 7.748060000000001E-4
