文章基本信息

标题：Survey of Text Classification Technique and Compare Classifier
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作者：Mital Vala ; Prof. Jay Gandhi
期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311095
出版社：S&S Publications
摘要：Huge amount data on the internet are in unstructured texts can‟t simply be used for further processingby computer , therefore specific processing method and algorithm require to extract useful pattern. Text mining isprocess to extract information from the unstructured data. Text classification is task of automatically sorting set ofdocument into categories from predefined set. A major difficulty of text classification is high dimensionality of featurespace. Feature selection method used for dimension reduction. This paper describe about text classification process,compare various classifier and also discuss feature selection method for solving problem of high dimensional data andapplication of text classification.
关键词：Text mining; Text classification; Classifier; Feature selection