JOURNAL OF SHANDONG UNIVERSITY(NATURAL SCIENCE) ›› 2017, Vol. 52 ›› Issue (7): 80-90.doi: 10.6040/j.issn.1671-9352.5.2016.034

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Emotion analysis on Microblog short text

SHI Han-xiao, LI Xiao-jun, HAO Teng-da, LIU Hong, ZHU Liu-qing   

  1. School of Computer Science &
    Information Engineering, Zhejiang Gongshang University, Hangzhou 310018, Zhejiang, China
  • Received:2016-10-11 Online:2017-07-20 Published:2017-07-07

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Abstract: Studies on emotion analysis oriented to Microblog short text are a hot issue in present research. In this paper, dependency grammar was used to analyse Microblog short text and extract relation pair. We proposed the corresponding methods to compute sentiment value and add the corresponding results to discriminant model of sentiment sentences as features. We also proposed discrimination rules of sentiment sentences and utilized the rules to correspondingly preprocess or postprocess before or after the classification model in order to improve the discrimination rate of sentiment sentences. Finally, we used NLP&CC’2013 Chinese Microblog data to testify the effectiveness of our method through experiments. Results show our works have better performance comparing to the best evaluation in that year.

Key words: emotion analysis, feature extraction, dependency syntax, emotion short text

CLC Number: 

  • TP391
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