Self-Training Naive Bayes Berbasis Word2Vec untuk Kategorisasi Berita Bahasa Indonesia

News as one kind of information that is needed in daily life has been available on the internet. News website often categorizes their articles to each topic to help users access the news more easily. Document classification has widely used to do this automatically. The current availability of labele...

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Bibliographic Details
Published in:Jurnal Nasional Teknik Elektro dan Teknologi Informasi
Main Authors: Joan Santoso, Agung Dewa Bagus Soetiono, Gunawan Gunawan, Endang Setyati, Eko Mulyanto Yuniarno, Mochamad Hariadi, Mauridhi Hery Purnomo
Format: Article
Language:English
Published: Universitas Gadjah Mada 2018-06-01
Subjects:
Kategorisasi Berita, Word2Vec, Skip-Gram, Self-Training, Naive Bayes, Semi-supervised Learning, Bahasa Indonesia
Online Access:http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/418

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http://ejnteti.jteti.ugm.ac.id/index.php/JNTETI/article/view/418

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