文章基本信息

标题：Empirical Studies On Machine Learning Based Text Classification Algorithms
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作者：Shweta C. Dharmadhikari ; Maya Ingle ; Parag Kulkarni 等
期刊名称：Advanced Computing : an International Journal
印刷版ISSN：2229-726X
电子版ISSN：2229-6727
出版年度：2011
卷号：2
期号：6
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：Automatic classification of text documents has become an important research issue now days. Proper classification of text documents requires information retrieval, machine learning and Natural language processing (NLP) techniques. Our aim is to focus on important approaches to automatic text classification based on machine learning techniques viz. supervised, unsupervised and semi supervised. In this paper we present a review of various text classification approaches under machine learning paradigm. We expect our research efforts provide useful insights on the relationships among various text classification techniques as well as sheds light on the future research trend in this domain.
关键词：Automatic text classification; Information Retrieval; NLP; Machine Learning.