A public opinion keyword vector for social sentiment analysis research

Yung Chun Chang, Fang Yi Lee, Chun Hung Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages752-757
Number of pages6
ISBN (Electronic)9781538643624
DOIs
Publication statusPublished - Jun 8 2018
Event10th International Conference on Advanced Computational Intelligence, ICACI 2018 - Xiamen, Fujian, China
Duration: Mar 29 2018Mar 31 2018

Conference

Conference10th International Conference on Advanced Computational Intelligence, ICACI 2018
CountryChina
CityXiamen, Fujian
Period3/29/183/31/18

Fingerprint

Sentiment Analysis
Social Media
Internet
Vector spaces
Classifiers
Semantics
Text Mining
Overload
Categorization
Vector space
Classifier
Experimental Results
Demonstrate
Text

Keywords

  • Reader emotion
  • Sentiment analysis
  • Social media

ASJC Scopus subject areas

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

Cite this

Chang, Y. C., Lee, F. Y., & Chen, C. H. (2018). A public opinion keyword vector for social sentiment analysis research. In Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018 (pp. 752-757). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICACI.2018.8377555

A public opinion keyword vector for social sentiment analysis research. / Chang, Yung Chun; Lee, Fang Yi; Chen, Chun Hung.

Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 752-757.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Chang, YC, Lee, FY & Chen, CH 2018, A public opinion keyword vector for social sentiment analysis research. in Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. Institute of Electrical and Electronics Engineers Inc., pp. 752-757, 10th International Conference on Advanced Computational Intelligence, ICACI 2018, Xiamen, Fujian, China, 3/29/18. https://doi.org/10.1109/ICACI.2018.8377555
Chang YC, Lee FY, Chen CH. A public opinion keyword vector for social sentiment analysis research. In Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. Institute of Electrical and Electronics Engineers Inc. 2018. p. 752-757 https://doi.org/10.1109/ICACI.2018.8377555
Chang, Yung Chun ; Lee, Fang Yi ; Chen, Chun Hung. / A public opinion keyword vector for social sentiment analysis research. Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. Institute of Electrical and Electronics Engineers Inc., 2018. pp. 752-757
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