@inproceedings{1de8d069ad574c4798da52dea6c014cb,
title = "Text emotion analysis of BGRU model based on the fusion of emoticons",
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\%.",
keywords = "BGRU, BLSTM, CNN, CRF, Emoticons, GRU, Machine learning, Sentiment analysis",
author = "Yong Li and Yang, \{Xiao Jun\} and Min Zuo and Liu, \{Rui Jun\} and Jin, \{Qing Yu\}",
note = "Publisher Copyright: {\textcopyright} 2020 SPIE; International Symposium on Artificial Intelligence and Robotics 2020 ; Conference date: 08-08-2020 Through 10-08-2020",
year = "2020",
doi = "10.1117/12.2577038",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Huimin Lu and Joze Guna and Yujie Li",
booktitle = "International Symposium on Artificial Intelligence and Robotics 2020",
address = "美国",
}