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Survey Paper on Feature Extraction Methods in Text Categorization

by Dixa Saxena, S. K. Saritha, K. N. S. S. V. Prasad
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 166 - Number 11
Year of Publication: 2017
Authors: Dixa Saxena, S. K. Saritha, K. N. S. S. V. Prasad
10.5120/ijca2017914145

Dixa Saxena, S. K. Saritha, K. N. S. S. V. Prasad . Survey Paper on Feature Extraction Methods in Text Categorization. International Journal of Computer Applications. 166, 11 ( May 2017), 11-17. DOI=10.5120/ijca2017914145

@article{ 10.5120/ijca2017914145,
author = { Dixa Saxena, S. K. Saritha, K. N. S. S. V. Prasad },
title = { Survey Paper on Feature Extraction Methods in Text Categorization },
journal = { International Journal of Computer Applications },
issue_date = { May 2017 },
volume = { 166 },
number = { 11 },
month = { May },
year = { 2017 },
issn = { 0975-8887 },
pages = { 11-17 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume166/number11/27712-2017914145/ },
doi = { 10.5120/ijca2017914145 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:13:24.923169+05:30
%A Dixa Saxena
%A S. K. Saritha
%A K. N. S. S. V. Prasad
%T Survey Paper on Feature Extraction Methods in Text Categorization
%J International Journal of Computer Applications
%@ 0975-8887
%V 166
%N 11
%P 11-17
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As the world is moving towards globalization, digitization of text has been escalating a lot and the need to organize, categorize and classify text has become obligatory. Disorganization or little categorization and sorting of text may result in dawdling response time of information retrieval. There has been the ‘curse of dimensionality’ (as termed by Bellman)[1] problem, namely the inherent sparsity of high dimensional spaces. Thus, the search for a possible presence of some unspecified structure in such a high dimensional space can be difficult. This is the task of feature reduction methods. They obtain the most relevant information from the original data and represent the information in a lower dimensionality space. In this paper, all the applied methods on feature extraction on text categorization from the traditional bag-of-words model approach to the unconventional neural networks are discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Bag of words algorithm

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