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

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...

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Detalles Bibliográficos
Autores principales: Fang, Fang, Zhou, Yin, Ying, Shi, Li, Zhijuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861522/
https://www.ncbi.nlm.nih.gov/pubmed/36674345
http://dx.doi.org/10.3390/ijerph20021591
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author Fang, Fang
Zhou, Yin
Ying, Shi
Li, Zhijuan
author_facet Fang, Fang
Zhou, Yin
Ying, Shi
Li, Zhijuan
author_sort Fang, Fang
collection PubMed
description 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.
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spelling pubmed-98615222023-01-22 A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis Fang, Fang Zhou, Yin Ying, Shi Li, Zhijuan Int J Environ Res Public Health Article 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. MDPI 2023-01-16 /pmc/articles/PMC9861522/ /pubmed/36674345 http://dx.doi.org/10.3390/ijerph20021591 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Fang, Fang
Zhou, Yin
Ying, Shi
Li, Zhijuan
A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis
title A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis
title_full A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis
title_fullStr A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis
title_full_unstemmed A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis
title_short A Study of the Ping An Health App Based on User Reviews with Sentiment Analysis
title_sort study of the ping an health app based on user reviews with sentiment analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9861522/
https://www.ncbi.nlm.nih.gov/pubmed/36674345
http://dx.doi.org/10.3390/ijerph20021591
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