Analisis Sentimen terhadap Anies Baswedan di X (Twitter) Menggunakan Naive Bayes dan TF-IDF
Abstract
Penelitian ini menganalisis sentimen warganet terhadap Anies Baswedan di platform X (Twitter) menggunakan algoritma Naive Bayes dengan pembobotan TF-IDF. Data mentah berjumlah 1.563 tweet (Januari 2019–Oktober 2022). Setelah penyaringan dan pelabelan manual, diperoleh 848 tweet dengan distribusi positif 261, negatif 92, dan netral 495. Ketidakseimbangan diatasi dengan random oversampling sehingga tiap kelas 495 data. Akurasi meningkat dari 64,12% menjadi 80,81%.
Kata kunci: Analisis sentimen; X (Twitter); Naive Bayes; TF-IDF; Oversampling.Full Text:
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