topic model 0.00413862
topic distribution 0.00402895
topic models 0.0036056810000000003
latent topic 0.00356705
topic modeling 0.0035118370000000003
hierarchical topic 0.003492254
topic set 0.003377031
topic nodes 0.0033586180000000003
good topic 0.003319224
topic hierarchy 0.0033173820000000002
labeled topic 0.003285581
topic proportion 0.003240125
topic correlations 0.00322017
corresponding topic 0.003217261
unsupervised topic 0.003212787
leaf topic 0.003200381
cal topic 0.003194216
tive topic 0.003185536
topic mod 0.003184292
child topic 0.003183221
topic multinomials 0.003174688
with topic 0.003173369
correlated topic 0.0031711680000000003
topic accord 0.003169183
erarchical topic 0.003167898
novel topic 0.00316659
topic hierarchies 0.003164147
topic 0.00294968
word distribution 0.00240472
latent topics 0.00202046
words distribution 0.001972661
hierarchical topics 0.0019456640000000002
new topics 0.0018626530000000001
dirichlet distribution 0.001858019
labeled topics 0.001738991
multiple topics 0.001711361
topics auto 0.0017102810000000001
available topics 0.0016901540000000001
probability distribution 0.0016840380000000001
corresponding topics 0.001670671
sub topics 0.0016699080000000001
word likelihood 0.001667827
tent topics 0.001638473
individual word 0.001605698
model parameter 0.001603447
document collection 0.001595522
generative model 0.001594078
model structure 0.001591923
word assignments 0.0015764009999999998
labeled document 0.001566371
document clustering 0.001547541
nth word 0.001547375
mth word 0.0015423659999999999
large document 0.001531573
multinomial distribution 0.00149271
document collections 0.001480984
document collectiondswith 0.001480414
baseline model 0.001470237
document length 0.001461828
mth document 0.001447386
themth document 0.001445585
famous model 0.0014323
graphical model 0.0014313770000000002
sshlda model 0.001430314
following distribution 0.001427375
cation model 0.0014104430000000002
joint model 0.001408174
hlda model 0.0014060770000000002
topics 0.00140309
latent dirichlet 0.001396119
topical words 0.001342035
conditional distribution 0.001340856
hierarchical dirichlet 0.0013213230000000001
web documents 0.001298286
such models 0.001282961
document 0.00123047
test documents 0.001218446
model 0.00118894
right words 0.001160899
cal words 0.001137927
ith words 0.001133111
data space 0.001129842
associated words 0.0011124
data collection 0.001111234
corresponding documents 0.0011022459999999999
inference algorithm 0.001101485
different value 0.001097132
labeled data 0.001082083
distribution 0.00107927
hierarchical lda 0.001072696
latent top 0.00106878
many models 0.0010524570000000001
nri documents 0.0010500709999999999
dirichlet allocation 0.0010324470000000001
nested dirichlet 0.001026981
various models 0.00101537
tent dirichlet 0.001014132
answer data 0.001011877
other parameter 0.001011132
dirichlet allo 0.00100994
