Text emotion analysis of BGRU model based on the fusion of emoticons

Yong Li; Xiao-jun Yang; Min Zuo; Rui-jun Liu; Qing-yu Jin

doi:10.1117/12.2577038

12 October 2020 Text emotion analysis of BGRU model based on the fusion of emoticons

Yong Li, Xiao-jun Yang, Min Zuo, Rui-jun Liu, Qing-yu Jin

Proceedings Volume 11574, International Symposium on Artificial Intelligence and Robotics 2020; 1157409 (2020) https://doi.org/10.1117/12.2577038
Event: International Symposium on Artificial Intelligence and Robotics (ISAIR), 2020, Kitakyushu, Japan

Abstract

Micro-blog is a platform for users to get information and convey their own ideas. In recent years, the emotional analysis of micro-blog has gradually become a hot topic. The publication of micro blog not only includes text, but also emoticons are a part that cannot be ignored. Traditional research methods ignore the importance of emoticons to the emotional polarity of text when preprocessing the micro blog. This paper proposes a research method of text emotion analysis based on the fusion of emoticons. By micro-blog to crawl the data preprocessing, selected text in the emoticons, using emotional dictionary gives corresponding weights and calculate the score, then transform text into the corresponding word vector sequence, using Bidirectional Gated Recurrent Unit network context information text emotion tendency, finally selects the Conditional Random Field polarity judgment of text. The experimental results show that the accuracy of the proposed method is up to 89%.

Citation Download Citation

Yong Li, Xiao-jun Yang, Min Zuo, Rui-jun Liu, and Qing-yu Jin "Text emotion analysis of BGRU model based on the fusion of emoticons", Proc. SPIE 11574, International Symposium on Artificial Intelligence and Robotics 2020, 1157409 (12 October 2020); https://doi.org/10.1117/12.2577038

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