Research on User Reviews Analysis Based on Sentiment Analysis from the Perspective of Social Networks
DOI: https://doi.org/10.62517/jike.202304409
Author(s)
Jing Li
Affiliation(s)
Department of Public Safety Technology, Hainan Vocational College of Politics and Law, Haikou, Hainan, China
Abstract
Based on theories such as user resource relationship theory, attitude perception theory, and user behavior theory, this paper summarizes and explains existing sentiment analysis methods, and seeks practical paths and methods for analyzing and visualizing user reviews from the perspective of social networks. The paper aims to obtain the most authentic and effective feedback from the public. This enables the adoption of correct strategies to guide online public opinion, thereby fully leveraging the information and emotional feedback effects of comments, and promoting the shaping of a good social network environment.
Keywords
Social Network Perspective; Sentiment Analysis; User Reviews
References
[1] Gogan Ives Chacourre Wangninanon. Research on User Behavior of Social Network Platforms from the Perspective of Usage and Satisfaction [D]. Harbin: Harbin Institute of Technology, 2020
[2] Gu Xiaoyu. Research on Sentiment Analysis and Visualization Based on Online Comment data [D]. Yinchuan: Ningxia University, 2020
[3] Dai Min, Wang Rongyang, Li Shoushan, etc. Research on Evaluation Object Extraction Method Based on Syntactic Features [J]. Journal of Chinese Information Processing, 2014,28 (4): 92-97
[4] Wan Yan, Du Zhenzhong. Fine Grained Sentiment Analysis of Weibo Comments by Integrating Sentiment Dictionaries and Semantic Rules [J]. Information Research, 2020 (11): 34-41
[5] Zhang Caihong. A Study on Public Opinion Analysis of Sudden Public Health Incidents Based on User Emotional Analysis from the Perspective of Social Networks [D]. Bengbu: Bengbu Medical College, 2023