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A Cogitate Study on Text Mining

Author(s): Y. Jahnavi | Computer Science & Engineering Department, Research Scholar, GITAM University, India.

Journal: International Journal of Engineering and Advanced Technology
ISSN 2249-8958

Volume: 1;
Issue: 6;
Start page: 189;
Date: 2012;
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Keywords: Classifiers | Term Weighting | Text Mining.

The vast amount of digitalized textual content hasgiven rise to the need for sophisticated text mining techniques.Text Mining is the process of analyzing and extracting the usefulinformation from a set of semi structured and unstructureddocuments by applying machine learning and natural languageprocessing techniques. It is easy for the people to assimilate fromthe categorized text documents. Even though a large research hasevolved into this problem, there is a survey that indicated trendsand directions. In this paper a cogitate study on preprocessing,term weighting algorithms, concept based term weightingalgorithms, pattern discovery, categorization, domain ontologybased frame work for text mining and summarization techniquesis presented. In addition, a number of successful applications oftext mining are discussed.
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