Computer Science ›› 2018, Vol. 45 ›› Issue (11A): 105-109.

• Intelligent Computing • Previous Articles     Next Articles

Emotion Recognition on Microblog Based on Character and Word Features

YIN Hao, XU Jian, LI Shou-shan, ZHOU Guo-dong   

  1. School of Computer Science & Technology,Soochow University,Suzhou,Jiangsu 215006,China
  • Online:2019-02-26 Published:2019-02-26

Abstract: Text emotion recognition is an important task in the community of nature language processing.This task aims to predict the involving emotion towards a piece of text.This paper proposed a novel emotion recognition approach based on character and word features.Compared to most traditional approaches,this approach employs both the character and word features by considering the characteristic of microblog text.Specifically,the feature presentations of microblog are extracted respectively from characters and words.Then,a LSTM model (or Bi-directional LSTM model) is employed to extract the hidden feature presentations from the above feature presentations.Third,the two groups of hidden character and word feature representations are merged to perform emotion recognition.Empirical studies demonstrate the effectiveness of the proposed approach for emotion recognition on SINA microblog.

Key words: Emotion recognition, Fusion features, LSTM

CLC Number: 

  • TP391
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