A public opinion keyword vector for social sentiment analysis research

Yung Chun Chang, Fang Yi Lee, Chun Hung Chen

研究成果: 書貢獻/報告類型會議貢獻

1 引文 斯高帕斯(Scopus)

摘要

In the Internet era, online platforms are the most convenient means for people to share and retrieve knowledge. Social media enables users to easily post their opinions and perspectives regarding certain issues. Although this convenience lets the internet become a treasury of information, the overload also prevents user from understanding the entirety of various events. This research aims at using text mining techniques to explore public opinion contained in social media by analyzing the reader's emotion towards pieces of short text. We propose Public Opinion Keyword Embedding (POKE) for the presentation of short texts from social media, and a vector space classifier for the categorization of opinions. The experimental results demonstrate that our method can effectively represent the semantics of short text public opinion. In addition, we combine a visualized analysis method for keywords that can provide a deeper understanding of opinions expressed on social media topics.
原文英語
主出版物標題Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面752-757
頁數6
ISBN(電子)9781538643624
DOIs
出版狀態已發佈 - 六月 8 2018
事件10th International Conference on Advanced Computational Intelligence, ICACI 2018 - Xiamen, Fujian, 中国
持續時間: 三月 29 2018三月 31 2018

會議

會議10th International Conference on Advanced Computational Intelligence, ICACI 2018
國家中国
城市Xiamen, Fujian
期間3/29/183/31/18

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Modelling and Simulation
  • Control and Optimization

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