文章基本信息

标题：Effective Classification of Text
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作者：A Saritha ; N NaveenKumar
期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2014
卷号：11
期号：1
页码：1-6
DOI：10.14445/22312803/IJCTT-V11P101
出版社：Seventh Sense Research Group
摘要：Text mining is the process of obtaining useful and interesting information from text. Huge amount of text data is available in the form of various formats. Most of it is unstructured.Text mining usually involves the process of structuring the input text which involves parsing it, structuring it by inserting results into a database, deriving patterns from the structured data, and finally evaluation and interpretation of the output. There are several data mining techniques proposed for mining useful patterns in text documents. Mining techniques can use either terms or pattern (or phrases).Theoretically using patterns rather than using terms in text mining may yield good results,but it is not proved and there is a need for effective ways of mining text. This paper present means to classify text using termbased approach
关键词：Classification ; Naïve Bayes classifier; Preprocessing; Stopword Removal; Stemming; ; Unigram; N-gram models