Internal News Classification Using Deep Learning

Shivani Kundra

doi:10.32628/IJSRSET162110

Internal News Classification Using Deep Learning

For the last few years, text mining has been gaining significant importance. Since Knowledge is now available to users through variety of sources i.e. electronic media, digital media, print media, and many more. Due to huge availability of text in numerous forms, a lot of unstructured data has been recorded by research experts and have found numerous ways in literature to convert this scattered text into defined structured volume, commonly known as text classification. Focus on full text classification i.e. full news, huge documents, long length texts etc. is more prominent as compared to the short length text. In this paper, we have discussed text classification process, classifiers, and numerous feature extraction methodologies but all in context of short texts i.e. news classification based on their headlines. Existing classifiers and their working methodologies are being compared and results are presented effectively.

Authors and Affiliations

Shivani Kundra
Department of Computer Science, DAV University, Jalandhar, Punjab, India

RSS, Support Vector Machine, Web Page Classification Method, SIU, Classifier, JAVA JDK, SDK

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Publication Details

Published in : Volume 2 | Issue 1 | January-February 2016
Date of Publication : 2016-02-25
License: This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 31-35
Manuscript Number : IJSRSET162110
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Shivani Kundra, " Internal News Classification Using Deep Learning, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 1, pp.31-35, January-February-2016.
Journal URL : http://ijsrset.com/IJSRSET162110

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Manuscript Number : IJSRSET162110

Internal News Classification Using Deep Learning