A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis

被引：4
|
作者：
Fang, Fang [1 ]
Zhou, Yin [1 ]
Ying, Shi [2 ]
Li, Zhijuan [3 ]
机构：
[1] Wuhan Univ, Sch Informat Management, Wuhan 430072, Peoples R China
[2] Wuhan Univ, Sch Comp Sci, Wuhan 430072, Peoples R China
[3] Wuhan Univ, Dept Econ & Management, Wuhan 430072, Peoples R China
来源：
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH | 2023年 / 20卷 / 02期
基金：
中国国家自然科学基金;
关键词：
m-Health apps; topic model; user reviews; dimension mining; dimension weight; sentiment analysis; MOBILE-HEALTH; ADOPTION;
D O I：
10.3390/ijerph20021591
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
By mining the dimensional sentiment and dimension weight of the Ping An Health App reviews, this paper explores the changing trend of the influence of dimensions on user satisfaction and provides suggestions for the Ping An Health App operators to improve user satisfaction. Firstly, the topic model is used to identify the topic of user comments, and then the fine-grained sentiment analysis method is used to calculate the sentiment and weight of each dimension. Finally, the changing trend of the weight of each dimension and the changing trend of user satisfaction of each dimension are drawn. Based on the reviews of the Ping An Health App in the Apple App Store, users' concerns about Ping An Health App can be summarized into seven main dimensions: Usage, Bug report, Reliability, Feature information, Services, Other apps, and User Background. The "Feature information" dimension and "Reliability" dimension have a great impact on user satisfaction with the Ping An Health App, while the "Bug report" dimension has the lowest user satisfaction.
引用
收藏
页数：14
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