Computer Science ›› 2014, Vol. 41 ›› Issue (3): 32-35.

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Emotion Analysis on Text Sentences Based on Topics

WANG Lei,MIAO Duo-qian,ZHANG Zhi-fei and YU Ying   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The emotion analysis on internet online information has received much attention from natural language processing field in recent years.A novel emotion vector space model based on topics for text sentences was proposed.The new model including the latent topics features,emotion dictionary and multi-label classification algorithm was applied to analyze the polarity of sentences.Experiment result shows that the model is reasonable and effective in recognizing the polarity of sentences.

Key words: Emotion dictionary,Probability topics,Multi-label classification,Emotion analysis

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