Text Categorization Using Soft Computing Method

Authors: P Tiwari, M S Rajput

DOI: https://doi.org/10.17605/OSF.IO/YQGP6

Short DOI: https://doi.org/ggkv72

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Abstract: Text categorization is the task of deciding whether a document belongs to a set of pre- specified classes of documents. Automatic classification schemes can greatly facilitate the process of categorization. Categorization of documents is challenging, as the number of discriminating words can be very large. The traditional method of text categorization like KNN has a defect that the time of similarity computing is huge. In this paper, neural network technique back propagation is proposed. Comparative study of back propagation technique was done with traditional technique of KNN and it was found that the time of similarity computing is decreased largely in back propagation. Following are the objectives of this study -
> Investigate approaches to analyzing large sets of data, including representation, feature selection and automatic classification.
> Build an automatic document classifier for the content on the newsgroup dataset.
> Compare the performance of the suggested approach of KNN and ANN.

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Paper Id: 11

Published On: 2013-11-18

Published In: Volume 1, Issue 2, November-December 2013

Cite This: Text Categorization Using Soft Computing Method - P Tiwari, M S Rajput - IJIRMPS Volume 1, Issue 2, November-December 2013. DOI 10.17605/OSF.IO/YQGP6

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