Call for Paper

CAE solicits original research papers for the July 2021 Edition. Last date of manuscript submission is June 30, 2021.

Read More

News Classification using Neural Networks

Gurmeet Kaur, Karan Bajaj. Published in Networks.

Communications on Applied Electronics
Year of Publication: 2016
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors: Gurmeet Kaur, Karan Bajaj
10.5120/cae2016652224

Gurmeet Kaur and Karan Bajaj. News Classification using Neural Networks. Communications on Applied Electronics 5(1):42-45, May 2016. BibTeX

@article{10.5120/cae2016652224,
	author = {Gurmeet Kaur and Karan Bajaj},
	title = {News Classification using Neural Networks},
	journal = {Communications on Applied Electronics},
	issue_date = {May 2016},
	volume = {5},
	number = {1},
	month = {May},
	year = {2016},
	issn = {2394-4714},
	pages = {42-45},
	numpages = {4},
	url = {http://www.caeaccess.org/archives/volume5/number1/592-2016652224},
	doi = {10.5120/cae2016652224},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

Classification of data in data mining is used to determine the category to which data belongs. Classification is required in order to search and manage data in databases. In this era of information, news are accessible very easily as news are available through online sources. This becomes a necessity to classify such data as news articles pose a great influence on various sections of our lives. This paper presents a system for the classification of news articles based on artificial neural networks and have compared the results with the previously used techniques for classification.

References

  1. Deshmukh, R. R., and Mr DK Kirange. J.2013 Classifying News Headlines for Providing User Centered E-Newspaper Using SVM.
  2. Zheng, Hai-Tao, Bo-Yeong Kang, and Hong-Gee Kim. J. 2009 Exploiting noun phrases and semantic relationships for text document clustering.Information Sciences
  3. Li, Jinyan, et al. J.2015 Hierarchical classification in text mining for sentiment analysis of online news.Soft Computing 
  4. Rana, Mazhar Iqbal, Shehzad Khalid, and Muhammad Usman Akbar C.2014 News classification based on their headlines: A review.Multi-Topic Conference (INMIC)
  5. Zheng, Hai-Tao, Bo-Yeong Kang, and Hong-Gee Kim.J.2009 Exploiting noun phrases and semantic relationships for text document clustering. Information Sciences
  6. Ramasubramanian, C., and R. Ramya .J.2013 Effective pre-processing activities in text mining using improved porter’s stemming algorithm. International Journal of Advanced Research in Computer and Communication Engineering
  7. CHASE, Zach, Nicolas GENAIN, And Orren KARNIOL-TAMBOUR. Learning Multi-Label Topic Classification of News Articles.
  8. Munková, Daša, Michal Munk, and Martin Vozár.J.2015.Data pre-processing evaluation for text mining: transaction/sequence model. Procedia Computer Science
  9. Zhou, Qingqing, and Chengzhi Zhang. J.2014 Sentiment Classification of Chinese Reviews in Different Domain: A Comparative Study.Machine Learning and Cybernetics. Springer Berlin Heidelberg
  10. Bracewell, David B., et al. P.2009 Category classification and topic discovery of japanese and english news articles.Electronic Notes in Theoretical Computer Science
  11. Punitha, S. C., and M. Punithavalli. P.2012 Performance evaluation of semantic based and ontology based text document clustering techniques." Procedia Engineering
  12. Kumar, Rama Bharath, Bangari Shravan Kumar, and Chandragiri Shiva Sai Prasad. J.2012 "Financial news classification using SVM." International Journal of Scientific and Research Publications
  13. Chen, Chun-Ling, Frank SC Tseng, and Tyne Liang. J.2010 .An integration of WordNet and fuzzy association rule mining for multi-label document clustering. Data & Knowledge Engineering
  14. Hassan, Malik Tahir, et al. P.2015 Cdim: Document clustering by discrimination information maximization. Information Sciences.
  15. Li, Huajiao, et al. P.2015 Words Analysis of Online Chinese News Headlines about Trending Events: A Complex Network Perspective. PloS one.
  16. Luo, Congnan, Yanjun Li, and Soon M. Chung. J.2009.Text document clustering based on neighbors.Data & Knowledge Engineering.
  17. Ramdass, Dennis, and Shreyes Seshasai P.2009. Document classification for newspaper articles.
  18. Yan, Yang, Lihui Chen, and William-Chandra Tjhi.J 2013 "Fuzzy semi-supervised co-clustering for text documents." Fuzzy Sets and Systems

Keywords

Classification, Stop words, Word Net, Text Mining, and Stemming.