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subjective category 0.0015490349999999998
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feature values 0.001516678
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subjective fragment 0.0015104229999999999
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pitch features 0.0015047489999999999
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feature space 0.001419169
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feature spaces 0.001374842
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sentiment classification 0.001140939
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sentence recognition 0.001028386
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machine learning 0.001020065
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final classifier 9.96413E-4
subjectivity classification 9.89323E-4
different stages 9.87417E-4
phrase sentiment 9.85597E-4
sentiment recognition 9.809839999999998E-4
text classification 9.59496E-4
classification tasks 9.540060000000001E-4
classifier interpolation 9.501710000000001E-4
classifier combination 9.282890000000001E-4
entity recognition 9.26464E-4
speech information 9.24299E-4
first set 9.21662E-4
other types 9.0533E-4
level models 9.00964E-4
word boundaries 8.98846E-4
prosodic information 8.94363E-4
learning problems 8.93799E-4
subjectivity annotation 8.9025E-4
first time 8.87235E-4
much information 8.86635E-4
learning component 8.83488E-4
chine learning 8.833479999999999E-4
factual information 8.78091E-4
negative subjectivity 8.77278E-4
aggregate classifier 8.757070000000001E-4
model 8.74873E-4
other person 8.71246E-4
pros classifier 8.710460000000001E-4
classification experiments 8.6933E-4
polarity classification 8.662540000000001E-4
good results 8.584689999999999E-4
many character 8.54668E-4
sentiment analysis 8.507129999999999E-4
task combination 8.48288E-4
sentence will 8.478709999999999E-4
generative language 8.46018E-4
natural language 8.43267E-4
