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dependency features 0.002327715
lexical features 0.00216101
syntactic features 0.002138147
feature set 0.002097235
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liwc features 0.002025538
feature values 0.002006667
predictive features 0.001984619
significant feature 0.001982493
feature analysis 0.001977752
frequency features 0.001963462
tic features 0.0019501499999999999
cepstral features 0.001935418
prosodic features 0.001908374
mrmr features 0.001905573
liwc feature 0.001819728
feature sets 0.001762656
empty feature 0.001759367
feature pairs 0.0017371959999999999
dependent feature 0.0017371959999999999
feature variations 0.001729226
features 0.00172127
feature independence 0.001720732
original feature 0.00172051
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feature saliency 0.0016994459999999999
eighth feature 0.0016994459999999999
average word 0.001541452
feature 0.00151546
such data 0.001484765
data set 0.001468111
test data 0.001372041
same data 0.001368266
word category 0.001270564
measures word 0.001206365
word count 0.001184826
word counts 0.001155928
deceptive data 0.001146594
average sentence 0.001137175
data the 0.001136201
the data 0.001136201
specific data 0.001123814
word cate 0.00112204
data points 0.001120589
sufficient data 0.0010956450000000001
classification accuracy 0.0010901980000000001
acoustic data 0.0010831060000000001
courtroom data 0.001080549
emotion words 0.0010775210000000001
pooled data 0.001074658
raw data 0.001072249
data collection 0.001070138
same set 0.0010637049999999999
group accuracy 0.001026539
syntactic dependency 0.0010233220000000001
text complexity 9.67531E-4
exclusive words 9.59489E-4
parameter set 9.48319E-4
classification results 9.33611E-4
analysis analysis 9.24584E-4
other age 9.03048E-4
other applications 9.02915E-4
classifier performance 8.964540000000001E-4
handwritten text 8.85314E-4
high accuracy 8.727860000000001E-4
dependency court 8.67776E-4
deceptive language 8.67548E-4
natural language 8.67259E-4
other thresholds 8.6673E-4
mixture model 8.632309999999999E-4
binary classification 8.60984E-4
parameter values 8.57751E-4
pennebaker model 8.534619999999999E-4
topic classification 8.43935E-4
set choice 8.39829E-4
language parser 8.34434E-4
average sen 8.26427E-4
real language 8.23903E-4
such variation 8.2235E-4
novel set 8.19987E-4
sentence length 8.17298E-4
adult language 8.145380000000001E-4
dependency grammar 8.13254E-4
functional dependency 8.130930000000001E-4
county dependency 8.08312E-4
sentence complexity 7.99958E-4
svm classifier 7.92152E-4
asl average 7.916539999999999E-4
accuracy best 7.838930000000001E-4
such situations 7.83479E-4
classification accuracies 7.834189999999999E-4
accuracy parameters 7.8323E-4
age sentence 7.708020000000001E-4
words 7.68632E-4
automated readability 7.592019999999999E-4
com sentence 7.56943E-4
false information 7.46522E-4
validation accuracy 7.44974E-4
significant improvement 7.42114E-4
