Analisis Sentimen dan Pemodelan Topik Percakapan Twitter dalam Pemilihan Presiden Indonesia 2024
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Pemilihan Presiden Indonesia 2024 telah menarik perhatian yang signifikan karena meningkatnya pengaruh media sosial terhadap persepsi publik tentang pemimpin politik dan pertukaran informasi. Penelitian ini bertujuan untuk menganalisis wacana online seputar tiga kandidat presiden Indonesia yang terkemuka: Anies Baswedan, Prabowo Subianto, dan Ganjar Pranowo. Dengan menggunakan analisis sentimen, analisis frekuensi, dan algoritma Latent Dirichlet Allocation (LDA), penelitian ini meneliti percakapan di platform media sosial, dengan fokus pada frekuensi kata, sentimen, subjek, dan entitas yang muncul dalam diskusi. Temuan menunjukkan bahwa Prabowo Subianto adalah kandidat yang paling sering disebut, diikuti oleh Anies Baswedan dan Ganjar Pranowo. Analisis sentimen menunjukkan sentimen yang didominasi netral hingga sedikit positif di seluruh percakapan. Analisis topik LDA mengungkap fokus kampanye yang berbeda untuk setiap kandidat, dengan Anies menekankan pada isu-isu lokal dan perdebatan, Prabowo berkonsentrasi pada wacana nasional dan kebijakan pertahanan, dan Ganjar mendiskusikan masalah-masalah nasional, keadilan, dan kemajuan. Named Entity Recognition (NER) menyoroti penonjolan entitas seperti "Indonesia", "Prabowo", dan "Pilpres2024" dalam diskusi online. Studi ini menggarisbawahi peran penting media sosial dalam membentuk opini publik dan memberikan wawasan yang berharga tentang narasi online seputar calon presiden. Temuan-temuan ini berkontribusi pada pemahaman yang lebih dalam tentang dinamika pemilihan umum digital dan memberikan panduan bagi para analis politik dan akademisi dalam menavigasi lanskap wacana politik online yang terus berkembang di Indonesia.
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