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Survey Paper | Computer Science & Engineering | India | Volume 6 Issue 6, June 2017

Text Mining: Survey on Techniques and Applications

M. Uma Maheswari ^[3] | Dr. J. G. R. Sathiaseelan

Abstract: Text Mining has turned into a vital research zone. Text Mining discloses new and already obscure data, by consequently removing data from various composed assets. In this paper, a Survey of Text Mining strategies and applications have been exhibited. The unstructured text documents from various source contains huge amount of information which are not to be used for any processing to extract useful information. Text mining is the process of extracting significant information or knowledge or patterns from the available unstructured text documents. Text mining tasks includes text categorization, text clustering, document summarization and sentiment analysis. There exist different techniques and tools to mine the text and discover valuable information for future prediction and decision making process. This paper discussed general idea of text mining, explains various techniques used to extract useful information, discussed number of text mining application and tools used for text mining process. In addition of that, this paper discussed issues in the field of text mining.

Keywords: Text Mining, Knowledge Discovery, Classification, Clustering, Summarization

Edition: Volume 6 Issue 6, June 2017,

Pages: 1660 - 1664

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