Department of Information and Library Science, Tamkang University Full-Time Faculty

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Seminar TitleBibliometric Analysis of Sentiment and Emotion Analysis in Computer Science.

Year111

Semester1

Published date2022-12-15

Seminar NameBibliometric Analysis of Sentiment and Emotion Analysis in Computer Science.

Seminar Name Other

All AuthorChia-Ling Chang; Sin Kei Chan; Yi-En Ho

The Unit Of The Conference

Publisher

Meeting Name2022 Taiwan Academic Network Conference

Meeting PlaceTaoyuan, Taiwan

SummaryAbstract—Sentiment and emotion analysis have become important sources in order to understand how people feel and think with the support of massive online data. sentiment and emotion analysis in the field of computer science has gained much attention in recent years. In this paper, we aim to explore the development of sentiment and emotion analysis for nearly six years, for that, we used the bibliometric analysis and the VosViewer to visualize the results. The results show an increase yearly in open-access publications. In addition, we found that China, India, and U.S. contributed the most and have strong cooperation with other countries. Moreover, we explored that research topics involved Human-Computer Interaction (HCI), machine learning, social media, and opinion mining. Furthermore, opinion mining, machine learning algorithms, aspect-based sentiment analysis (ABSA), and electroencephalogram (EEG) in the medical field are the recent research directions in Sentiment and Emotion Analysis. Finally, the findings in this study provide a reference for future related research as the basis for the research blueprint and researchers to discover the develop potential of sentiment and emotion analysis.

KeywordSentiment;Emotion;Bibliometric;VosViewer;Computer Science

Use LangEnglish

Included in

Nature Of The Meeting國內

On-campus Seminar Location無

Seminar Time20221215~20221217

Corresponding Author

Country中華民國

Open Call for Papers

Publication style

Provenance2022 Taiwan Academic Network Conference

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