A Survey Paper on Text Mining Techniques
|International Journal of Engineering Trends and Technology (IJETT)||
|© 2016 by IJETT Journal|
|Year of Publication : 2016|
|Authors : C.Uma, S.Krithika, C.Kalaivani
|DOI : 10.14445/22315381/IJETT-V40P237|
C.Uma, S.Krithika, C.Kalaivani"A Survey Paper on Text Mining Techniques", International Journal of Engineering Trends and Technology (IJETT), V40(4),225-229 October 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Text mining, also referred to as text data mining, roughly equivalent to text analytics, refers to the process of deriving high-quality information from text. High-quality information is typically derived through the devising of patterns and trends through means such as statistical pattern learning. There are many techniques for text mining. In this paper we describe the techniques, Information Extraction, Information retrieval, Query processing, Natural Language processing, Categorization, Clustering. We also discuss future challenges of this area using different techniques, particularly rough set based text mining techniques, improvements and research directions in this paper.
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Data mining, Text mining, Rough sets, Classification, Summarization, and Text categorization, Clustering, Information Extraction, Information Retrieval.