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A Cogitate Study on Text Mining

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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.

ABSTRACT
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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