events event 0.00515263
event tweets 0.004166236
other event 0.004093441
new event 0.0039681149999999995
test event 0.00388536
event tweet 0.003872245
line event 0.003850352
event detection 0.003849407
global event 0.003825004
event identification 0.003805096
event top 0.0037738299999999997
related event 0.00376344
event recommendation 0.003753256
relevant event 0.003744694
event duration 0.003736879
event index 0.003729689
event discovery 0.003717699
event detec 0.003710532
event timeuserlda 0.003706952
groups event 0.0037053069999999997
event quality 0.003696583
event recommenda 0.0036955679999999998
event food 0.003693431
event durations 0.003693431
event recom 0.003693431
event recommen 0.003693431
event 0.00348104
topic model 0.0024161599999999997
news events 0.0023897149999999997
bursty events 0.002167144
test events 0.00207591
many events 0.002069367
major events 0.002054983
similar events 0.002047948
topic distribution 0.002043582
topic tweets 0.001986066
example events 0.001982921
events method 0.001977177
top events 0.00196438
meaningful events 0.001955308
related events 0.00195399
additional events 0.0019405009999999999
common events 0.00192875
popular events 0.0019106289999999998
cause events 0.001899038
group events 0.001896965
correlated events 0.00189063
ful events 0.001886895
tected events 0.001884485
favor events 0.001884485
topic models 0.0017403499999999999
model topics 0.0017246219999999999
research topic 0.001724014
temporal topic 0.001716391
many topic 0.001698647
topic tweet 0.001692075
similar topic 0.001677228
events 0.00167159
ing topic 0.001665325
personal topic 0.001659058
topic affinity 0.001629599
topic distributions 0.001613428
topic top 0.00159366
general topic 0.001591025
topic interests 0.0015890190000000001
strong topic 0.001585497
empirical topic 0.001580721
only topic 0.001571573
average topic 0.001565264
model inference 0.001553313
topic index 0.001549519
topic similarity 0.001541177
topic modeling 0.001540392
topic discovery 0.001537529
skewed topic 0.001537094
lar topic 0.001535013
own topic 0.00152553
topic association 0.001520621
topic assignment 0.001518528
ilar topic 0.001513175
probabilistic model 0.00147189
variable model 0.001465859
model base 0.001416599
base model 0.001416599
final model 0.0014140819999999999
model clus 0.0013785429999999999
generative model 0.001375634
our model 0.0013703699999999999
whole model 0.0013700239999999999
complete model 0.0013676819999999998
rcrp model 0.0013628759999999998
unified model 0.0013593099999999999
word distribution 0.0013372739999999998
mixture model 0.0013348689999999998
parametric model 0.0013281439999999999
ative model 0.0013281439999999999
topic 0.00130087
other tweets 0.0012975970000000002
different topics 0.001159806
twitter data 0.001155795
