Evidence map›Paper›PMID 36674345›Full record

ArticleInternational journal of environmental research and public health2023

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

Fang Fang, Yin Zhou, Shi Ying, Zhijuan Li

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Fang FangSchool of Information Management, Wuhan University, Wuhan 430072, China.ORCID 0000-0001-9451-2733
Yin ZhouSchool of Information Management, Wuhan University, Wuhan 430072, China.ORCID 0000-0003-1629-7710
Shi YingSchool of Computer Science, Wuhan University, Wuhan 430072, China.
Zhijuan LiDepartment of Economics and Management, Wuhan University, Wuhan 430072, China.ORCID 0000-0001-7052-9012

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

Mobile ApplicationsAttitudePersonal SatisfactionSentiment Analysisdimension miningdimension weightm-Health appssentiment analysistopic modeluser reviews

Identifiers

PMID36674345
PMCPMC9861522

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.