文章基本信息

标题：Text Mining Infrastructure in R
本地全文：下载
作者：Ingo Feinerer ; Kurt Hornik ; David Meyer 等
期刊名称：Journal of Statistical Software
印刷版ISSN：1548-7660
电子版ISSN：1548-7660
出版年度：2008
卷号：25
期号：1
页码：1-54
语种：English
出版社：University of California, Los Angeles
摘要：During the last decade text mining has become a widely used discipline utilizing statistical and machine learning methods. We present the tm package which provides a framework for text mining applications within R. We give a survey on text mining facilities in R and explain how typical application tasks can be carried out using our framework. We present techniques for count-based analysis methods, text clustering, text classification and string kernels.