Computer Science ›› 2017, Vol. 44 ›› Issue (2): 244-249.doi: 10.11896/j.issn.1002-137X.2017.02.040

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Emotion Recognition of Chinese Microblogs with Syntactic Information

HUANG Lei, LI Shou-shan and ZHOU Guo-dong   

  • Online:2018-11-13 Published:2018-11-13

Abstract: Emotion recognition aims to predict the involving emotion towards a piece of text.Automatic emotion recognition is a basic task for sentiment analysis.In this paper,an emotion recognition for Chinese microblogs approach based on syntactic information was proposed.One distinguishing feature of the proposed method is that the microblog’s syntactic information is employed.Specifically,we took advantage of POS (part of speech) sequence and syntactic tree to represent syntactic information in order to extract POS sequence pattern,rewrite rules and bigrams of syntactic labels as features for text representation.Then,we utilized the maximum entropy algorithm to perform the classification.Experimental studies demonstrate that our approach is very effective for emotion recognition.

Key words: Natural language processing,Microblog,Emotion recognition,POS sequence pattern,Syntax tree

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