Sentiment Analysis on TikTok Shop Reviews Using Long Short-Term Memory Method to Find Business Opportunity

  • Cahyarini Maulida Tri Yunanda Department of Computer Science, Universitas AMIKOM Yogyakarta
  • Muhammad Hanafi Department of Computer Science, Universitas AMIKOM Yogyakarta
  • Windha Mega Pradnya Dhuhita Department of Computer Science, Universitas AMIKOM Yogyakarta
https://doi.org/10.25139/inform.v9i1.6524
Abstract views: 1965 , PDF downloads: 1476
Keywords: TikTok shop, Business, Sentiment analysis, Social media commerce, LSTM algorithm

Abstract

During the world-changing year of covid 19, social media commerce grew fast. The prolonged use of social media encourages users to make online purchases via social media. TikTok, the most downloaded social media app, offers its users a social media commerce experience, TikTok Shop. The TikTok shop provided a new option for business expansion. Business owners may optimize the potential use of TikTok shops by learning more about TikTok Shop. The purpose of this study is to use sentiment analysis to evaluate the business potential of TikTok Shop. The data from Google Play reviews is analysed using the LSTM algorithm. Based on the results of research conducted using a confusion matrix, the LSTM algorithm method using word2vec has an accuracy of 74%. This study found that the business prospects of TikTok shops may be challenging.

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Published
2023-09-21
How to Cite
Tri Yunanda, C. M., Hanafi, M., & Pradnya Dhuhita, W. M. (2023). Sentiment Analysis on TikTok Shop Reviews Using Long Short-Term Memory Method to Find Business Opportunity. Inform : Jurnal Ilmiah Bidang Teknologi Informasi Dan Komunikasi, 9(1), 1-7. https://doi.org/10.25139/inform.v9i1.6524
Issue
Vol. 9 No. 1 (2024)
Section
Articles

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