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Reseach Article

Algorithm for Punjabi Text Classification

by Nidhi, Vishal Gupta
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 37 - Number 11
Year of Publication: 2012
Authors: Nidhi, Vishal Gupta
10.5120/4731-6925

Nidhi, Vishal Gupta . Algorithm for Punjabi Text Classification. International Journal of Computer Applications. 37, 11 ( January 2012), 30-35. DOI=10.5120/4731-6925

@article{ 10.5120/4731-6925,
author = { Nidhi, Vishal Gupta },
title = { Algorithm for Punjabi Text Classification },
journal = { International Journal of Computer Applications },
issue_date = { January 2012 },
volume = { 37 },
number = { 11 },
month = { January },
year = { 2012 },
issn = { 0975-8887 },
pages = { 30-35 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume37/number11/4731-6925/ },
doi = { 10.5120/4731-6925 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:24:04.743950+05:30
%A Nidhi
%A Vishal Gupta
%T Algorithm for Punjabi Text Classification
%J International Journal of Computer Applications
%@ 0975-8887
%V 37
%N 11
%P 30-35
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Text Mining is a field that extracts hidden, not yet discovered, useful information from the text document according to user’s query. And Text Classification is one of the text mining tasks to manage the information efficiently, by classifying the documents into classes using classification algorithms. Any text classification method uses a set of features to characterize each text document, where these features should be relevant to the task at hand. Not much work has been done for Punjabi text classification. Adequate annotated corpora are not yet available in Punjabi. This paper introduces preprocessing techniques, features selection methods for Punjabi and classification algorithm to classify the Punjabi Text documents.

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Index Terms

Computer Science
Information Sciences

Keywords

NLP Text mining Text Classification Features extraction