淡江資訊與圖書館學系專任教師

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標題Bibliometric Analysis of Sentiment and Emotion Analysis in Computer Science.

學年111

學期1

發表日期2022-12-15

作品名稱Bibliometric Analysis of Sentiment and Emotion Analysis in Computer Science.

作品名稱（其他語言）

著者Chia-Ling Chang; Sin Kei Chan; Yi-En Ho

作品所屬單位

出版者

會議名稱2022 Taiwan Academic Network Conference

會議地點Taoyuan, Taiwan

摘要Abstract—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.

關鍵字Sentiment;Emotion;Bibliometric;VosViewer;Computer Science

語言英文

收錄於

會議性質國內

校內研討會地點無

研討會時間20221215~20221217

通訊作者

國別中華民國

公開徵稿

出版型式

出處2022 Taiwan Academic Network Conference

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