A survey on text analytics and classification techniques for text documents

Author: 
Nihar Ranjan, Abhishek Gupta, Ishwari Dhumale, Payal Gogawale and Rugved Gramopadhye
Abstract: 

Text Mining is termed as extraction of relevant yet hidden information from the text document. One of the essential concepts in the field of text mining is Text classification (Also called Text Categorization). Through the sudden growth in digital world and available documents, the task of organizing text data becomes one of the principal problems. The classification problem has been widely studied in data mining, machine learning, database, and information retrieval. On the basis of text information processing, we have made a study of support vector machine in text categorization. By introducing the basic principle of SVMs, we described the process of text classification. Comparative Study of other classification algorithm is done and this paper states that how SVM is an effective machine learning algorithm for classification. A theoretical study of SVM and other machine learning techniques can be found in this paper along with their advantages and disadvantages.

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           Prof. Dr. Bilal BİLGİN

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   Vol. 07, Issue 02, February 2017

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