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Sentiment Analysis and Network Analysis based on Review Text

  • Journal of the Korean Society for Library and Information Science
  • 2021, 55(3), pp.397-417
  • DOI : 10.4275/KSLIS.2021.55.3.397
  • Publisher : 한국문헌정보학회
  • Research Area : Interdisciplinary Studies > Library and Information Science
  • Received : July 30, 2021
  • Accepted : August 20, 2021
  • Published : August 31, 2021

Yumi Kim 1 Heo Go Eun 2

1연세대학교 영어영문학과
2연세대학교

Excellent Accredited

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.

Citation status

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