Automatic Classification for Vietnamese News
Publish Year: 1394
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ACSIJ-4-4_018
تاریخ نمایه سازی: 7 آذر 1394
Abstract:
This paper proposes an automatic framework to classify Vietnamese news from news sites on the Internet. In this proposed framework, the extracted main content of Vietnamesenews is performed automatically by applying the improved performance extraction method from [1]. This information willbe classified by using two machine learning methods: Support vector machine and naïve bayesian method. Our experimentsimplemented with Vietnamese news extracted from some sitesshowed that the proposed classification framework give acceptable results with a rather high accuracy, leading to applying it to real information systems.
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Authors
Phan Thi Ha
Posts and Telecommunications Institute of Technology Hanoi, Vietnam
Nguyen Quynh Chi
Posts and Telecommunications Institute of Technology Hanoi, Vietnam