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predictive features 0.002358147
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features 0.00212792
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feature sets 0.00195977
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feature space 0.001903782
fsm feature 0.001879296
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discussion data 0.0018666619999999998
same data 0.0018210000000000001
email act 0.001727689
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feature 0.00165008
data sets 0.00161107
previous text 0.001580489
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email conversa 0.001523607
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text categorization 0.001459916
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expository text 0.001449433
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classification performance 0.001444623
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classification research 0.001304894
email 0.0012789
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act classification 0.0012550719999999999
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sequential learning 0.0011586819999999999
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fischer corpus 0.001039967
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complete corpus 9.9654E-4
corpus inserts 9.95825E-4
same learner 9.941210000000002E-4
such distance 9.71696E-4
test set 9.668820000000001E-4
information overload 9.56663E-4
stop words 9.47707E-4
conversation summarization 9.3946E-4
multiple process 9.357479999999999E-4
single message 9.248759999999999E-4
online discussion 9.18947E-4
thread base 9.17865E-4
based approach 9.042130000000001E-4
discussion forum 8.93558E-4
threaded structure 8.93144E-4
previous message 8.89402E-4
style discussion 8.8411E-4
other dimensions 8.78516E-4
other con 8.55986E-4
discussion environment 8.468239999999999E-4
parent message 8.37974E-4
significant improvement 8.22307E-4
current span 8.19197E-4
semantic similarity 8.12785E-4
classification 8.06283E-4
discussion boards 7.972189999999999E-4
discussion board 7.959789999999999E-4
previous messages 7.88043E-4
novel thread 7.865740000000001E-4
learning 7.82327E-4
grant number 7.74842E-4
initial messages 7.74375E-4
unambiguous thread 7.68136E-4
significant improvements 7.65887E-4
corpus 7.64253E-4
perceptron learner 7.63368E-4
message buffers 7.595639999999999E-4
base base 7.59306E-4
dramatic results 7.551719999999999E-4
categorization task 7.48017E-4
vector representation 7.418279999999999E-4
significant difference 7.39845E-4
leverage context 7.367659999999999E-4
context ori 7.367659999999999E-4
extractable context 7.367659999999999E-4
