Dirgantara Yudhanata, Irham and , Dr. Endah Sudarmilah, S.T., M.Eng. (2024) Analisis Sentimen Terhadap Isu Islamofobia Pada Platform Twitter Menggunakan Metode Klasifikasi Naïve Bayes. Skripsi thesis, Universitas Muhammadiyah Surakarta.
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Abstract
The phenomenon of Islamophobia seems to depict that the teachings of Islam convey negative aspects, initially rooted in a lack of understanding of Islamic teachings, resulting in misguided perceptions. Islamophobia is increasingly expressed by countries with minority Muslim populations, with many instances of terrorism being associated with the Islamic faith. This is exacerbated by the side effects of rapid technological development. The rapid and widespread dissemination of fake news is facilitated by the growing number of social media users. One of the widely used platforms is Twitter, where users frequently engage in debates about Islamic teachings. This research aims to conduct sentiment analysis of Twitter users' expressions regarding this phenomenon, especially focusing on the period leading up to the political year. Sentiment analysis was performed on 2132 tweets related to the keywords Islam and Muslim using Naïve Bayes Classification. From the analyzed results, a balanced percentage was obtained, with 51% positive sentiment and 49% negative sentiment, yielding an accuracy rate of 74.26%.
| Item Type: | Thesis (Skripsi) |
|---|---|
| Uncontrolled Keywords: | analisa sentimen, islamofobia, naïve bayes, twitter |
| Subjects: | T Technology > TZ Technical Information > TA02 Software. Aplication |
| Divisions: | Fakultas Ilmu Komunikasi dan Informatika > Teknik Informatika |
| Depositing User: | IRHAM DIRGANTARA YUDHANATA |
| Date Deposited: | 02 May 2024 06:43 |
| Last Modified: | 02 May 2024 06:47 |
| URI: | http://eprints.ums.ac.id/id/eprint/123003 |
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