Sentiment Analysis of Tiktok Shop Using Multinomial Naïve Bayes Method and BM25
Main Article Content
Abstract
In the current digital era, TikTok has emerged as a popular application among internet users. One prominent feature is the TikTok Shop, which allows users to shop directly through the platform. However, on October 4, 2023, TikTok Shop was temporarily suspended by the government due to online trade regulation policies. After reopening on December 12, 2023, various responses from the public emerged in reaction to this phenomenon. This research conducted sentiment analysis on TikTok Shop by observing public responses on Twitter using the Multinomial Naïve Bayes classification method with word weighting using the BM25 and TF-IDF methods. The analysis results showed a majority of positive sentiment regarding TikTok Shop, indicating disapproval of the previous closure policy. In testing with a 10% test sample size, BM25 showed slightly better performance than TF-IDF.
Downloads
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright of their work and grant Jurnal Ilmiah Teknologi Informasi Asia the right of first publication. The work is simultaneously licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0) that allows others to share the work with an acknowledgment of the work's authorship and initial publication in this journal.
While the editorial board endeavors to ensure accuracy, they accept no responsibility for the content of articles. Liability rests solely with the respective authors.
This is an open-access journal. All articles are immediately available to read and reuse upon publication under the CC BY 4.0 license. Users may share and adapt the material for any purpose, including commercial use, provided they comply with the license terms.