话题分布对评论情绪的影响——韩美比较研究。

M. Cho, Dugmee Hwang, Seongmin Jeon
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引用次数: 0

摘要

在线评论通过反映消费者对其产品和服务的体验,为企业提供了有价值的信息。网上评论的两个重要方面是,第一,消费者选择的话题,第二,在他们的评论中表达的情绪。在先前的文献表明在线评论是上下文相关的基础上,我们研究了主题分布对韩国和美国在大流行前后期间评论情绪的影响。在对Airbnb应用程序评论数据进行主题建模后,我们使用SHAP值衡量每个主题对评论情绪的贡献。我们的研究结果显示了2018年至2021年间主题分布趋势的变化。此外,在两国大流行前后,主题对审查情绪影响的顺序和程度也发生了变化。这项研究可以帮助企业了解与他们的产品和服务相关的话题和情绪在大流行之后是如何变化的,也可以帮助他们确定需要改进的领域。
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Impact of Topic Distribution on Review Sentiment: A Comparative Study between South Korea and the U.S.
Online reviews offer valuable information to businesses by reflecting consumer experiences about their products and services. Two important aspects of online reviews are first, the topics consumers choose to address and second, the sentiments expressed in their reviews. Building upon previous literature that shows online reviews are context-dependent, we examine the impact of topic distribution on review sentiment in South Korea and the U.S. during pre-and post-pandemic periods. After performing topic modeling on Airbnb app review data, we measure the contribution of each topic on review sentiment using SHAP values. Our results indicate variations in topic distribution trends between 2018 and 2021. Also, the order and magnitude of topics’ impact on review sentiment change between pre-and post-pandemic periods for both countries. This study can help businesses to understand how topics and sentiments associated with their products and services changed after pandemic, and also help them identify areas of improvement.
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来源期刊
Asia Pacific Journal of Information Systems
Asia Pacific Journal of Information Systems Social Sciences-Sociology and Political Science
CiteScore
0.90
自引率
0.00%
发文量
29
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