期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2016
卷号：7
期号：2
页码：480-483
出版社：TechScience Publications
摘要：The rapid development of the Informationtechnology has led to the collection of documents in Indianregional languages. To classify millions of documentsmanually is an expensive and time consuming task. Therefore,automatic text classifiers are constructed which sort a givenset of documents into different classes and whose accuracy andtime efficiency is much better than manual text classification.This paper presents a survey of text categorization techniquesfor Indian regional languages.
关键词：Text categorization; Clustering; Naïve Bayes; KNearest;Neighbor; Support Vector Machine; Hybrid;Approach.
