speech features 0.002607457
prosodic features 0.002373787
lexical features 0.002330639
various features 0.002292284
pitch features 0.00219688
pragmatic features 0.002151212
linguistic features 0.002117104
features min 0.002034911
features literature 0.002017772
speaker turns 0.002004815
speaker gender 0.001988954
speaker turn 0.001972482
speaker effect 0.001899278
humor speaker 0.0018909579999999999
speaker humor 0.0018909579999999999
speaker information 0.001888826
ing speaker 0.0018602739999999999
speaker differences 0.001854285
label speaker 0.0018310219999999999
speaker label 0.0018310219999999999
results feature 0.001814624
features 0.00178496
feature values 0.0017641699999999998
speaker distribution 0.0017611109999999999
speaker classes 0.001744565
speaker variable 0.001727409
speaker categories 0.0017085899999999998
lexical feature 0.001707919
tween speaker 0.001684126
speaker our 0.00167694
excerpt speaker 0.0016705589999999998
speaker distributions 0.001665333
speaker infor 0.001661019
proper speaker 0.001660422
speaker lex 0.0016574299999999999
lected speaker 0.0016574299999999999
analysis feature 0.0016458129999999999
feature humor 0.0016256979999999999
pitch feature 0.00157416
model humor 0.001546598
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feature length 0.0015113709999999999
feature extraction 0.001468322
feature value 0.001448048
feature categories 0.00144333
feature group 0.001434515
speaker 0.0014275
other words 0.001326406
speech analysis 0.00130607
classification results 0.001304196
different values 0.001214882
real data 0.001187264
feature 0.00116224
learning problem 0.0011389949999999999
recognition results 0.001101032
emotional speech 0.0010916230000000001
lexical turn 0.001090661
classification study 0.001063827
speech signal 0.001057353
gender analysis 0.001045027
gender effect 0.001033232
different speakers 0.001027097
gender humor 0.001024912
humor gender 0.001024912
different pitch 0.001024872
recognition task 0.0010102
anova results 9.89448E-4
gender differences 9.88239E-4
same speakers 9.78152E-4
classification experiments 9.74431E-4
gender study 9.73469E-4
class humor 9.708970000000001E-4
total turns 9.37496E-4
prosodic character 9.25262E-4
humorous turns 9.216350000000001E-4
reports classification 9.184099999999999E-4
gender baseline 9.14971E-4
humor recognition 9.12106E-4
main speakers 9.06561E-4
tree algorithm 8.99953E-4
gender distribution 8.95065E-4
turn length 8.94113E-4
promising results 8.9074E-4
male turns 8.879070000000001E-4
simple annotation 8.855709999999999E-4
gender classes 8.785189999999999E-4
computational humor 8.78304E-4
lexical fea 8.7543E-4
means values 8.707E-4
automatic humor 8.66589E-4
significant differences 8.66294E-4
female turns 8.569879999999999E-4
tion accuracy 8.48748E-4
lexical items 8.44937E-4
turn level 8.42616E-4
current study 8.401820000000001E-4
ous turns 8.37843E-4
only pitch 8.29877E-4
learning classifiers 8.2824E-4
supervised learning 8.26895E-4
