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topic representation 0.003497936
terms topic 0.003415504
topic terms 0.003415504
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common topic 0.003355383
topic classi 0.003250441
choosing topic 0.003242537
topic represen 0.003242537
topic 0.00302541
class data 0.001855872
document matrix 0.0018001599999999999
function words 0.001739218
training data 0.001726394
other words 0.0016266090000000002
test data 0.001603284
arousal model 0.001525463
topics topics 0.001511372
data set 0.001506581
words representation 0.0015043160000000001
similar data 0.001495663
baseline model 0.00145766
lda model 0.00144783
small data 0.00139989
gaussian model 0.001391791
data sets 0.001383539
word tokens 0.001382835
normal data 0.0013360099999999999
data sample 0.0013359589999999998
model blowwhistle 0.00133323
target document 0.0013331939999999998
word norms 0.001317572
training documents 0.001314595
data distri 0.001311884
entire data 0.001304965
figurative data 0.001301879
scribe data 0.001297905
semantic contexts 0.001285634
document matrices 0.0012794599999999998
italicized words 0.001249761
semantic context 0.001240094
semantic relatedness 0.001146723
class problem 0.001123712
semantic outliers 0.001122228
semantic shift 0.001114109
semantic roles 0.00111296
detection algorithm 0.001106304
class mean 0.001102511
model 0.00109435
scatter matrix 0.001094145
local topics 0.001091603
text space 0.001091317
other methods 0.0010853360000000001
training corpus 0.0010791169999999999
training arousal 0.001076657
text representation 0.001066212
different dataset 0.0010656300000000001
class assignment 0.00105571
words 0.00103179
classification rule 0.001029383
document 0.00102934
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jth class 0.001010983
projection matrix 0.00100339
idiom classification 9.98093E-4
ument matrix 9.97748E-4
text segments 9.953829999999999E-4
class contribution 9.92766E-4
respective class 9.92766E-4
class separability 9.92766E-4
matrix mdˆ 9.92358E-4
training examples 9.92232E-4
representation idioms 9.91095E-4
covariance matrix 9.89544E-4
supervised classification 9.89237E-4
literal language 9.786690000000002E-4
time performance 9.78537E-4
different variants 9.75838E-4
other approaches 9.74789E-4
tract topics 9.74645E-4
target documents 9.72905E-4
space representation 9.70157E-4
many idioms 9.63698E-4
idiomatic sentences 9.6299E-4
relatedness function 9.59611E-4
detection methods 9.50121E-4
overall performance 9.495949999999999E-4
similar approach 9.45364E-4
arousal feature 9.42092E-4
classification task 9.419769999999999E-4
text segment 9.3646E-4
different semantics 9.35534E-4
query documents 9.33948E-4
simple text 9.284549999999999E-4
average arousal 9.28279E-4
arousal value 9.27231E-4
different abilities 9.27123E-4
different gaus 9.237220000000001E-4
