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point performance 9.75719E-4
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performance measure 9.69684E-4
svm first 9.623959999999999E-4
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sentence level 9.5853E-4
language processing 9.5367E-4
linear svm 9.532169999999999E-4
selection algorithms 9.42296E-4
words 9.35914E-4
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negative weight 9.24862E-4
labeled data 9.2326E-4
text clas 9.18917E-4
machine learning 9.144209999999999E-4
classification problem 9.138079999999999E-4
other numbers 9.08316E-4
traditional models 9.082949999999999E-4
classification domain 9.07319E-4
training time 9.044400000000001E-4
other researchers 9.03496E-4
other kinds 9.02586E-4
classification function 9.01832E-4
dress text 9.00857E-4
standard information 8.976959999999999E-4
information gain 8.97407E-4
same table 8.85787E-4
entire data 8.82582E-4
poor performance 8.6238E-4
sophisticated models 8.61406E-4
new approach 8.61077E-4
upperbound performance 8.559290000000001E-4
classification problems 8.495199999999999E-4
positive fea 8.46085E-4
standard test 8.324210000000001E-4
learning curve 8.22167E-4
new problem 8.21897E-4
negative docket 8.21158E-4
