topic model 0.00421399
latent topic 0.0037238059999999996
topic distribution 0.003721186
same topic 0.0036462739999999997
topic analysis 0.003424459
similar topic 0.00338917
topic distributions 0.003366842
topic distribu 0.00320901
topic extraction 0.0032072479999999998
tent topic 0.003198327
topic sets 0.003193176
topic distri 0.003193167
lar topic 0.003175017
topic 0.00293051
document data 0.002354275
latent topics 0.002221206
document classification 0.002172464
document retrieval 0.002141609
same word 0.002131844
document vector 0.0020971419999999998
various document 0.002072554
document summarization 0.002023749
document summary 0.001960589
common document 0.001915067
target document 0.001906053
document sumarization 0.001835297
document summariza 0.001835297
word frequency 0.0017472899999999999
error topics 0.0017094839999999998
tent topics 0.001695727
topics wordlda 0.001687716
single word 0.001684657
multiple topics 0.00167176
word fre 0.001667483
sign topics 0.0016639019999999999
document 0.00159954
probabilistic model 0.001598777
other words 0.001598416
topics 0.00142791
latent dirichlet 0.001350911
analysis methods 0.001325359
various methods 0.001304424
model 0.00128348
original documents 0.0012768950000000001
summarization methods 0.001255619
infrequent words 0.0012179159999999999
same process 0.0012125500000000002
frequent words 0.001204776
multinomial distribution 0.001199037
unknown words 0.001197184
several methods 0.001195083
data set 0.001186319
text analysis 0.0011854090000000001
latent top 0.001174046
retrieval results 0.0011695009999999999
analysis method 0.001156856
representative methods 0.00112319
probabilistic distribution 0.0011059730000000001
tive methods 0.001097193
conventional methods 0.001095387
tive documents 0.0010881530000000001
summarization method 0.001087116
objective documents 0.001070851
same result 0.001068374
ysis methods 0.001068157
benchmark methods 0.001068157
rization methods 0.001068157
same way 0.001058677
same level 0.001057959
important sentences 0.001043888
sampling method 0.001038288
abilistic distribution 0.001034973
similar sentences 0.001034164
method precision 0.001029524
latent dirich 0.0010289259999999999
probablistic distribution 0.001027411
distribution simi 0.001026061
evaluation method 0.001018458
data sets 0.001017401
same experiment 0.001014093
first process 9.809340000000001E-4
high accuracy 9.78361E-4
words 9.60487E-4
such type 9.602619999999999E-4
bayes method 9.41983E-4
semantic indexing 9.35983E-4
conventional method 9.26884E-4
ment vector 9.21223E-4
lead method 9.165040000000001E-4
retrieval task 9.121919999999999E-4
important sentence 9.094890000000001E-4
various measures 9.00504E-4
retrieval result 8.94679E-4
certain probability 8.90902E-4
other hand 8.817499999999999E-4
test collection 8.77424E-4
dependency structure 8.49E-4
similarity measures 8.439039999999999E-4
correct sentences 8.41027E-4
above measures 8.338309999999999E-4
