NDLI: Klasifikasi Berita Lokal Radar Malang Menggunakan Metode Naïve Bayes Dengan Fitur N-Gram

Content Provider	Semantic Scholar
Author	Chandra, Denny Indrawan, G. Sukaraja, I. Nyoman
Copyright Year	2016
Abstract	Perkembangan berita digital telah tumbuh sangat cepat. Saat ini diperkirakan 80% berita digital dalam bentuk tidak terstruktur. Tingginya volume dokumen teks ini dipicu oleh aktivitas dari berbagai sumber berita. Kebutuhan analisis text mining sangat diperlukan dalam menangani teks yang tidak terstruktur tersebut. Untuk mengklasifikasikan berita, banyak peneliti yang berusaha untuk melakukan klasifikasi terhadap berita ini secara otomatis, salah satunya adalah dengan menggunakan klasifikasi naive bayes. Pada penelitian ini selain menggunakan naive bayes, peneliti juga akan menggunakan fitur N-Gram. Diharapkan dengan penambahan metode ini, dapat meningkatkan tingkat akurasi dari klasifikasi naive bayes.
Starting Page	11
Ending Page	19
Page Count	9
File Format	PDF HTM / HTML
Volume Number	10
Alternate Webpage(s)	https://jurnal.stmikasia.ac.id/index.php/jitika/article/download/62/61
Language	English
Access Restriction	Open
Content Type	Text
Resource Type	Article

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