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Journal of the Korean Society for Library and Information Science

ISSN : 1225-598X

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Vol.55 No.3
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Sentiment Analysis and Network Analysis based on Review Text

Journal of the Korean Society for Library and Information Science / Journal of the Korean Society for Library and Information Science, (P)1225-598X; (E)2982-6292
2021, v.55 no.3, pp.397-417
https://doi.org/10.4275/KSLIS.2021.55.3.397


& (2021). Sentiment Analysis and Network Analysis based on Review Text. Journal of the Korean Society for Library and Information Science, 55(3), 397-417, https://doi.org/10.4275/KSLIS.2021.55.3.397
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Abstract

As review text contains the experience and opinions of the customers, analyzing review text helps to understand the subject. Existing studies either only used sentiment analysis on online restaurant reviews to identify the customers’ assessment on different features of the restaurant or network analysis to figure out the customers’ preference. In this study, we conducted both sentiment analysis and network analysis on the review text of the restaurants with high star ratings and those with low star ratings. We compared the review text of the two groups to distinguish the difference of the two and identify what makes great restaurants great.

keywords
Text Mining, Review Text, Sentiment Analysis, Network Analysis, 텍스트 마이닝, 리뷰 텍스트, 감성 분석, 네트워크 분석

Journal of the Korean Society for Library and Information Science

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