无监督机器学习识别约旦移动健康应用程序中的积极和消极主题

Q3 Business, Management and Accounting

International Journal of E-Services and Mobile Applications Pub Date : 2022-01-01 DOI:10.4018/ijesma.313950

M. Alhur, Shaher Alshamari, J. Oláh, Hanadi Aldreabi

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引用次数: 0

摘要

用户意见在移动健康(mHealth)应用程序(app)的开发中至关重要。本研究旨在调查和定性评估消费者对移动健康应用程序及其设计的主要方面的态度。该方法分为四个步骤:(1)数据收集，(2)预处理，(3)使用价格感知字典和情感推理器(VADER)进行情感分析，(4)使用潜在狄利克雷分配(LDA)算法进行主题分析。这些步骤在约旦应用程序商店对8个移动健康应用程序的836条评论中实施。目前的研究通过确定用户喜欢的功能并提出改进建议，为医疗保健利益相关者提供了移动健康应用程序的积极和消极方面的见解。研究结果表明，移动健康应用程序开发人员可以使用设计的几个方面来提高整体疗效，包括用户体验、客户服务、可用性和依从性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Unsupervised Machine Learning to Identify Positive and Negative Themes in Jordanian mHealth Apps

User opinions are crucial in the development of mobile health (mHealth) applications (apps). This study aimed to investigate and qualitatively assess consumer attitudes toward mHealth apps and the main aspects of their design. The methodology was divided into four steps: (1) data collection, (2) preprocessing, (3) sentiment analysis by valence-aware dictionary and sentiment reasoner (VADER), and (4) thematic analysis by the latent Dirichlet allocation (LDA) algorithm. These steps were implemented in 836 reviews of eight mHealth apps on app stores in Jordan. The current study offers healthcare stakeholders insight into the positive and negative aspects of mHealth apps by identifying user-preferred features and recommending improvements. The findings indicate several aspects of design that mHealth app developers may use to improve overall efficacy, including user experience, client services, usability, and adherence.

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来源期刊

International Journal of E-Services and Mobile Applications Business, Management and Accounting-Management Information Systems

CiteScore

2.90

自引率

0.00%

发文量

期刊介绍： The International Journal of E-Services and Mobile Applications (IJESMA) promotes and publishes state-of-the art research regarding different issues in the production management, delivery and consumption of e-services, self services, and mobile communication including business-to-business, business-to-consumer, government-to-business, government-to-consumer, and consumer-to-consumer e-services relevant to the interest of professionals, academic educators, researchers, and industry consultants in the field.