topic model 0.0028748000000000003
word distribution 0.00263591
language model 0.002431767
unsupervised model 0.0023836350000000003
markov model 0.0023161600000000003
topic distribution 0.0023017000000000003
new model 0.002265146
graphical model 0.002147407
general model 0.002129755
topic models 0.00209852
conversation model 0.002069135
class distribution 0.002062357
permutation model 0.002012537
model topology 0.00201137
concise model 0.00201137
word distributions 0.001864105
model 0.00181743
word type 0.001738822
single word 0.0017345479999999998
sampling distribution 0.001727117
word types 0.001670495
sample word 0.0016587
language models 0.001655487
stop word 0.0016494609999999999
word tokens 0.00163139
word clusters 0.001622906
transition distribution 0.001616192
unsupervised models 0.001607355
multinomial distribution 0.001596391
word removal 0.001585986
posterior distribution 0.0015560980000000001
markov models 0.00153988
topic distributions 0.0015298949999999999
background distribution 0.001492223
switching distribution 0.001475182
own distribution 0.0014742940000000001
discrete distribution 0.001468148
latent topic 0.0014417499999999999
distribution pib 0.0014388320000000001
distribution pia 0.0014388320000000001
ground distribution 0.0014388320000000001
standard topic 0.001395444
generative models 0.001384743
topic probabilities 0.001381452
class probability 0.001374327
graphical models 0.001371127
baseline models 0.001336556
supervised topic 0.001334195
clustering topic 0.001305647
sampling class 0.001300814
structural topic 0.001292926
sequence models 0.001278703
topic mod 0.001264543
other words 0.001253705
correlated topic 0.00125334
ple models 0.001252457
block hmm 0.001245164
distribution 0.00124433
bhmm models 0.001236653
sider models 0.001235051
hmm state 0.0012276280000000001
other state 0.001220623
text block 0.001202606
latent class 0.001202407
previous block 0.001193273
single class 0.001160995
state space 0.001115629
class assignment 0.001107099
class values 0.001087244
large state 0.001080596
class assignments 0.001078994
bayesian block 0.001067042
topic 0.00105737
own class 0.001047991
times class 0.001047174
models 0.00104115
class allocation 0.0010356480000000001
tional class 0.001032541
inference algorithm 0.0010278029999999999
class distri 0.0010209870000000001
candidate class 0.001020745
class histogram 0.001018195
tent class 0.0010148730000000001
class histograms 0.001012094
tual class 0.001012094
hidden state 0.0010026710000000001
function words 9.9939E-4
such features 9.991919999999999E-4
twitter data 9.9891E-4
previous text 9.971189999999999E-4
web data 9.86914E-4
stop words 9.72807E-4
entire block 9.59619E-4
next block 9.5305E-4
latent dirichlet 9.484579999999999E-4
data sets 9.45652E-4
conversation data 9.407700000000001E-4
parent block 9.37735E-4
start state 9.350300000000001E-4
infrequent words 9.27649E-4
