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All Journal Jurnal Indonesia : Manajemen Informatika dan Komunikasi
Jhosefhin, Nicola Van Robert
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Computer Science & IT Languange, Linguistic, Communication & Media Library & Information Science

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Analisis Sentimen Crawling Data dari Sosial Media X tentang Gaza Menggunakan Metode SVM dan Decision Tree Jhosefhin, Nicola Van Robert; Dewi, Christine
Jurnal Indonesia : Manajemen Informatika dan Komunikasi Vol. 6 No. 1 (2025): Januari
Publisher : Lembaga Penelitian dan Pengabdian Kepada Masyarakat (LPPM) STMIK Indonesia Banda Aceh

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.35870/jimik.v6i1.1225

Abstract

The Palestinian conflict with Israel has attracted a lot of attention from the world, especially in the Gaza Strip after the Hamas group took over the leadership, so that people often make tweets (posts) with various views, some have neutral, positive, negative views. Sentiment analysis is used to analyze data obtained from posts on Twitter. The purpose of this study is to determine the public's views on the Gaza Strip by applying the Decision Tree and Support Vector Machine algorithms to measure their level of accuracy. The results of the sentiment analysis show 805 neutral data, 415 positive, and 308 negative, then the Support Vector Machine algorithm produces the highest level of accuracy with a value of 73.86 which can be categorized as good.
Co-Authors Christine Dewi