hotel review 0.002214043
review term 0.002158295
deceptive reviews 0.002152926
hotel reviews 0.002118243
online reviews 0.00211802
negative reviews 0.0021054430000000002
review collection 0.002078341
positive review 0.002042942
review level 0.00200208
positive reviews 0.001947142
truthful reviews 0.001938779
labeled review 0.001927088
single review 0.001922605
review community 0.00191467
review website 0.001911729
review representation 0.001910032
travel review 0.001905503
review layer 0.001897155
only review 0.00189235
review sim 0.001888158
fake reviews 0.001885241
review writers 0.001879209
review portals 0.001879209
world reviews 0.0018403
labeled reviews 0.001831288
unlabeled reviews 0.001822138
tive reviews 0.001819591
ceptive reviews 0.001793198
singleton reviews 0.001787757
fictitious reviews 0.001786457
ful reviews 0.00178429
genuine reviews 0.001782607
ranking model 0.0017502110000000002
different ranking 0.001717274
review 0.00165273
topic model 0.001638395
ranking method 0.001589322
ranking approach 0.00157696
reviews 0.00155693
ranking distribution 0.001527661
hotel ranking 0.001524806
ranking term 0.001469058
other information 0.001459731
ranking problem 0.001416298
topic distribution 0.001415845
ranking algorithm 0.001345814
topic models 0.001344002
aspect topic 0.001331097
topic words 0.001322767
baseline ranking 0.001315549
manifold ranking 0.001296921
ranking vectors 0.001291634
ranking scores 0.00126819
deceptive opinion 0.001263438
topic quality 0.001257866
different approaches 0.001257471
textual features 0.001251047
reinforcement ranking 0.0012378200000000002
ranking applications 0.0012294950000000002
other approaches 0.001226645
background topic 0.001217822
ranking offerings 0.001215627
ranking perfor 0.001210783
ideal ranking 0.001209089
topic number 0.001202395
ranking mod 0.001192132
ranking performances 0.0011893140000000001
different hotels 0.001177947
specific topic 0.001171156
deceptive hotel 0.001157309
opinion spam 0.001153841
evaluation data 0.0011486489999999999
other hotels 0.001147121
feature space 0.001141593
deceptive language 0.0011334420000000001
lda topic 0.001125223
manifold model 0.001120146
evaluation method 0.001117421
ground topic 0.00110739
background information 0.001102921
rlda topic 0.001096074
term distribution 0.001069733
graph model 0.00106477
reinforcement model 0.001061045
lda feature 0.001056853
specific information 0.0010562549999999999
term score 0.0010491390000000001
score term 0.0010491390000000001
feature representation 0.001040609
model details 0.001040371
city feature 0.001035132
standard set 0.001031386
rlda model 0.001031115
feature sets 0.0010288390000000001
different levels 0.001021524
different cities 0.001020998
ifold model 0.001014423
different offerings 0.001005915
different versions 0.001004796
score vector 9.96347E-4
