Naive Bayes Sentiment Analysis Study On Street Boba And Gildak Kediri Consumer Reviews

Authors

  • Cindy Aprilia Wijaya Prasentya Universitas Dian Nuswantoro
  • Didik Hermanto Universitas Dian Nuswantoro
  • Wana Pramudyawardana Kusuma Negar Universitas Dian Nuswantoro
  • Folasade Olubusola Isinkaye Ekiti State University

DOI:

https://doi.org/10.33633/jais.v9i1.10309

Abstract

Streetboba & Gildak Kediri outlet is a restaurant that serves a variety of Korean food menus and various kinds of drinks with boba and jelly toppings that are sold at low prices that suit the student's budget. This restaurant is located in East Java province which is precisely on Jalan Yos Sudarso No.43, Kediri City. With technological advances that continue to grow to affect various aspects, especially in the business and industrial world. Sentiment analysis is a technology that extracts or manages text to be expressed using text that can also be classified into positive and negative polarity. Consumer reviews are a form of communication that occurs in the sales process, the stage where potential buyers receive an explanation of the product posted and buyers receive reviews that explain the advantages or disadvantages of purchasing the product. In this study, sentiment analysis was conducted based on consumer opinions regarding social media accounts. The study aimed to use social media data to assess the service, cleanliness and quality of products offered by categorizing companies as having positive and negative reviews. To classify sentiment, the Naive Bayes method is used, which combines survey data collection methods, questionnaires, and observation data.

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Published

2024-04-02

Issue

Vol. 9 No. 1 (2024): Journal of Applied Intelligent System

Section

Articles

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