Penerapan Support Vector Machine untuk Analisis Sentimen Komentar Video Tempodotco tentang Soeharto Pahlawan Nasional
DOI:
https://doi.org/10.29407/0wkhfp46Abstract
Penelitian ini bertujuan untuk menganalisis sentimen komentar pengguna YouTube terhadap wacana penganugerahan gelar Pahlawan Nasional kepada Soeharto pada kanal Tempodotco menggunakan metode Support Vector Machine (SVM). Data yang digunakan berasal dari 1.407 komentar, dengan 1.329 komentar valid yang selanjutnya diproses dalam penelitian. Tahapan yang dilakukan meliputi preprocessing, pelabelan data, pembobotan kata menggunakan Term Frequency Inverse Document Frequency (TF-IDF), klasifikasi menggunakan SVM, serta evaluasi menggunakan confusion matrix. Hasil penelitian menunjukkan bahwa model yang dibangun mampu mencapai akurasi sebesar 83% dalam mengklasifikasikan sentimen komentar. Temuan ini menunjukkan bahwa metode SVM yang dikombinasikan dengan TF-IDF dapat digunakan secara efektif untuk menganalisis sentimen pada komentar YouTube yang berkaitan dengan isu sosial dan politik.
Keywords:
analisis sentimen, komentar YouTube, opini publik, support vector machine, TF-IDF##plugins.themes.default.displayStats.downloads##
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