Analisis Sentimen Masyarakat Indonesia Terhadap Aplikasi Threads di Twitter Menggunakan Naïve Baiyes

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JUSIFO (Jurnal Sistem Informasi) | Vol. 9, No. 2, Desember 2023
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Published: Dec 30, 2023
DOI: https://doi.org/10.19109/jusifo.v9i2.19965
Keywords:
Sentiment Analysis, Naïve Bayes, Threads, Twitter

Main Article Content

Fredrick Lim
Universitas Pradita
Afifah Trista Ayunda
Universitas Pradita

Abstract

Threads, a new application released by Meta in mid-2023, has sparked discussions across various social media platforms. This application has been widely compared to Twitter. This research aims to analyze the sentiment of Indonesian society regarding the emergence of Threads on social media. Various opinions were collected from Twitter posts and analyzed using the Naïve Bayes algorithm in RapidMiner to classify each public response. The results show that 28.8% of respondents view the introduction of Threads positively, while 71.2% express negative sentiment. Therefore, Threads should improve its application by adding additional features to gain broader acceptance among users. Although this research has not validated using other algorithms, it provides a general overview of the public's response to the newly emerging Threads application.

Article Details

How to Cite
Lim, F., & Ayunda, A. T. (2023). Analisis Sentimen Masyarakat Indonesia Terhadap Aplikasi Threads di Twitter Menggunakan Naïve Baiyes. JUSIFO (Jurnal Sistem Informasi), 9(2), 55-64. https://doi.org/10.19109/jusifo.v9i2.19965
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Vol. 9 No. 2 (2023): JUSIFO (Jurnal Sistem Informasi) | December 2023
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Articles
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How to Cite

Lim, F., & Ayunda, A. T. (2023). Analisis Sentimen Masyarakat Indonesia Terhadap Aplikasi Threads di Twitter Menggunakan Naïve Baiyes. JUSIFO (Jurnal Sistem Informasi), 9(2), 55-64. https://doi.org/10.19109/jusifo.v9i2.19965

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