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 en
收錄於
會議性質 國內
校內研討會地點
研討會時間 20221215~20221217
通訊作者
國別 TWN
公開徵稿
出版型式
出處 2022 Taiwan Academic Network Conference