文章基本信息

标题：Text Mining Research: A Survey
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作者：R.Janani ; S.Vijayarani
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：2016
卷号：4
期号：4
页码：6564
DOI：10.15680/IJIRCCE.2016.0404040
出版社：S&S Publications
摘要：Data Mining is the process to extract hidden predictive information from database and transform it into understandable structure for future use. The assorteddomains in data mining are Web Mining, Text Mining, Sequence Mining, Graph Mining, Temporal Data Mining, Spatial Data Mining (SDM), Distributed Data Mining (DDM) and Multimedia Mining. Some of the applications of data mining, it is used for financial data analysis, retail and telecommunication industries, science and engineering and intrusion detection and prevention. In this paper we discussed about the text mining techniques and its applications. Text mining is used to extract interesting information or knowledge or pattern from the unstructured texts that are from different sources. It converts the words and phrases in unstructured information into numerical values which may be linked with structured information in database and analyzed with ancient data mining techniques. There are many techniques used in text mining such as information extraction, information retrieval, natural language processing (NLP), query processing,categorization and clustering
关键词：Data Mining; Text Mining; Natural Language Processing; Techniques; Issues; Challenges