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song sentiment 0.004441835
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appropriate sentiment 0.004272999
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effective sentiment 0.004207719
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sentiment expressing 0.0042001370000000005
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model file 0.0023919339999999996
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word features 0.0023067120000000003
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song classification 0.0013234050000000002
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training samples 9.88054E-4
words 9.41082E-4
features 9.28712E-4
vsm training 9.22993E-4
negative senti 8.98371E-4
polarity 8.86798E-4
negative class 8.75053E-4
machine learning 8.74671E-4
document representation 8.65794E-4
opinion mining 8.58799E-4
positive senti 8.57549E-4
traditional text 8.518779999999999E-4
last approach 8.508109999999999E-4
modifier set 8.4654E-4
classification 8.4608E-4
many literatures 8.3906E-4
first step 8.369950000000001E-4
topic 8.36252E-4
error analysis 8.35568E-4
positive class 8.342310000000001E-4
tion song 8.32417E-4
linguistic rules 8.32015E-4
learning algorithms 8.240669999999999E-4
experimental results 8.190369999999999E-4
song senti 8.14614E-4
vector 8.0672E-4
test samples 8.05409E-4
negation set 8.04142E-4
lyric document 7.95991E-4
language processing 7.8623E-4
chine learning 7.82844E-4
song corpus 7.797570000000001E-4
