Computer Science ›› 2015, Vol. 42 ›› Issue (6): 93-96.doi: 10.11896/j.issn.1002-137X.2015.06.021

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Emotion Analysis of Text Based on Topics and Three-way Decisions

WANG Lei, HUANG He-xiao, WU Bing and ZHENG Ren-er   

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

Abstract: Affective computing has received much attention and has been a hot research in the field of natural language processing and artificial intelligence in recent years.Emotion analysis of text is one of important parts in affective computing.A novel method was proposed to analyze the multi-label emotion classification of the text based on topics features and three-way decisions.The multi-label emotions of sentence are judged by using the topic emotion model,and then the multi-label emotions of text are recognized,combining the theory of three-way decision.Experiment results show that the method is reasonable and effective in recognizing the classifications of text emotion.

Key words: Three-way decisions,Topic feature,Multi-label classification,Affective computing

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