Sentiment Analysis of Tiktok Shop Using Multinomial Naïve Bayes Method and BM25
Keywords:
TikTok Shop, BM25, Analisis Sentimen, Multinomial Naïve BayesAbstract
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.
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Copyright (c) 2024 Andrew Arjunanda Yasin, Dwi Arman Prasetya, Tresna Maulana Fahrudin

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