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labeled data 0.002528972
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contact data 0.0025175090000000002
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data collection 0.002503721
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guish data 0.002449533
data dtestk 0.002449533
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text mining 0.0016951989999999999
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whole text 0.0015416219999999999
text min 0.00154084
information figure 0.001455921
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such segments 0.0013483190000000002
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information extraction 0.0013448499999999999
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information rates 0.001232476
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information mention 0.001190773
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information gain 0.001126228
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classification accuracy 0.001117702
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such infor 9.961430000000001E-4
specific feature 9.85363E-4
classification method 9.85108E-4
different results 9.83153E-4
different business 9.72796E-4
type classification 9.50556E-4
important expressions 9.4832E-4
set patterns 9.4203E-4
specific analysis 9.317799999999999E-4
information 9.31421E-4
semantic segment 9.26193E-4
ing customer 9.09948E-4
ment classification 9.09736E-4
ing record 9.0482E-4
segments seg 8.98034E-4
mining system 8.97874E-4
good car 8.81912E-4
conventional classification 8.798899999999999E-4
mining analysis 8.77206E-4
other objects 8.73875E-4
classification accu 8.656989999999999E-4
feature selection 8.5685E-4
particular segments 8.554670000000001E-4
significant features 8.31367E-4
business value 8.2594E-4
trigger segments 8.2432E-4
segments trigger 8.2432E-4
human analysis 8.24008E-4
first time 8.237159999999999E-4
noisy features 8.208E-4
ing agent 8.16535E-4
product feature 8.0612E-4
useful expressions 8.00736E-4
experimental system 8.0004E-4
appropriate segments 7.99852E-4
recognition system 7.91737E-4
textual segments 7.90236E-4
difference analysis 7.8959E-4
representative feature 7.88352E-4
specific business 7.85248E-4
extraction process 7.83813E-4
ing patterns 7.83621E-4
discriminative features 7.81748E-4
select features 7.79897E-4
good rates 7.79784E-4
good rate 7.76016E-4
segment detection 7.734549999999999E-4
business results 7.73187E-4
