Published: 2023-01-01
Sentimen Analisis Masyarakat Indonesia Terhadap Presiden Rusia Pada Komentar Media Berita Online
DOI: 10.35870/jtik.v7i1.698
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Abstract
Russia's invasion of Ukraine was criticized by various parties, including from Indonesia. The attitude shown by the Indonesian government is not the same as the response of the Indonesian people based on various comments on online news media pages. Comments by online news readers are used as an assessment of the Russian President who is involved in the conflict between Russia and Ukraine in the form of sentiment analysis. This study succeeded in obtaining data as many as 352 comments from one of the online news media, the data had previously gone through the cleansing stage to eliminate duplication. To get basic information on comments, Text mining and Text Pre-Processing become an important part of the process. The algorithm used in this research is the Naive Bayes (NB) and Support Vector Machine (SVM) classification algorithm which is optimized using Particle Swarm Optimization (PSO). The two algorithms were tested and gave the result that PSO-based SVM got the best accuracy, which was 79.90% and AUC 0.901.
Keywords
Text Mining ; Vladimir Putin ; Sentiment Analysis ; NB ; SVM ; PSO
Article Information
This article has been peer-reviewed and published in the Jurnal JTIK (Jurnal Teknologi Informasi dan Komunikasi). The content is available under the terms of the Creative Commons Attribution 4.0 International License.
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Issue: Vol. 7 No. 1 (2023)
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Section: Computer & Communication Science
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Published: %750 %e, %2023
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License: CC BY 4.0
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Copyright: © 2023 Authors
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DOI: 10.35870/jtik.v7i1.698
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Ihud Hafid
Fakultas Teknologi Informasi, Universitas Nusa Mandiri
Windu Gata
Fakultas Teknologi Informasi, Universitas Nusa Mandiri
Khairunisa Hilyati
Fakultas Teknologi Informasi, Universitas Nusa Mandiri
Valianda Farradillah Hakim
Fakultas Teknologi Informasi, Universitas Nusa Mandiri
Sri Rahayu
Fakultas Teknologi Informasi, Universitas Nusa Mandiri
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