topic model 0.00455816
topic models 0.003790225
same topic 0.003437453
topic parameters 0.003263668
single topic 0.003252942
base topic 0.003234336
topic variation 0.0032304829999999997
geographical topic 0.0032239929999999997
topic assignment 0.0032024189999999998
normal topic 0.0031806829999999997
geographic topic 0.003169649
basic topic 0.003161748
topic proportions 0.0031557259999999998
topic pair 0.003152702
topic indicator 0.0031287819999999997
corrupted topic 0.003121545
tent topic 0.00311987
namic topic 0.0031118359999999998
cascading topic 0.00311045
topic interact 0.00311045
topic 0.00292628
word distribution 0.00290982
language model 0.002218037
regional word 0.002166768
same model 0.002143053
lda model 0.00210022
model training 0.002080286
word distributions 0.0020654289999999997
generative model 0.0020298
geographical model 0.001929593
mixture model 0.001894949
individual word 0.0018915949999999998
word tokens 0.001876373
word types 0.00186816
full model 0.0018674520000000001
poor model 0.001862092
word pairs 0.00186164
key model 0.00185378
word type 0.0018510549999999999
graphical model 0.001848447
background word 0.0018421289999999999
equivalent word 0.001841232
ual word 0.001826652
our model 0.0018246690000000001
model this 0.001819163
model accounts 0.00181624
model obtains 0.00181624
word geog 0.0018120019999999998
variational distribution 0.001752646
multiple topics 0.001711773
hidden topics 0.00166478
latent topics 0.001660305
other words 0.0016486170000000002
base topics 0.0016464560000000001
model 0.00163188
multinomial distribution 0.0015953870000000002
normal distribution 0.0015369230000000002
final distribution 0.001531716
geographic distribution 0.001525889
background distribution 0.001497349
true distribution 0.0014812380000000002
distribution ηjk 0.0014796640000000001
ational distribution 0.001471553
gamma distribution 0.001470773
wishart distribution 0.001467198
text data 0.0013488839999999998
topics 0.0013384
uninformative words 0.0012879480000000001
distribution 0.00128252
generative models 0.001261865
variable models 0.001217725
models geographic 0.0011073139999999999
words 0.00110029
longitude models 0.001048329
other terms 0.001030263
such work 0.00101355
variational inference 9.74524E-4
demographic data 9.57001E-4
first set 9.274999999999999E-4
variational distributions 9.08255E-4
time period 8.948270000000001E-4
training set 8.67858E-4
models 8.63945E-4
lexical distributions 8.569960000000001E-4
lda mean 8.45456E-4
such regions 8.45179E-4
regional variance 8.38318E-4
news text 8.33983E-4
unigram language 8.252380000000001E-4
text regression 8.236319999999999E-4
regional english 8.18855E-4
first term 8.12182E-4
variational parameters 8.075140000000001E-4
other factors 8.03216E-4
good results 8.025630000000001E-4
dirichlet parameter 7.98017E-4
dirichlet process 7.97822E-4
geotagged text 7.935479999999999E-4
such users 7.90479E-4
mean location 7.88918E-4
