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Neural Network Approach for Text Classification using Relevance Factor as Term Weighing Method

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 68 - Number 17
Year of Publication: 2013
Authors:
Anuradha Patra
Divakar Singh
10.5120/11674-7301

Anuradha Patra and Divakar Singh. Article: Neural Network Approach for Text Classification using Relevance Factor as Term Weighing Method. International Journal of Computer Applications 68(17):37-41, April 2013. Full text available. BibTeX

@article{key:article,
	author = {Anuradha Patra and Divakar Singh},
	title = {Article: Neural Network Approach for Text Classification using Relevance Factor as Term Weighing Method},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {68},
	number = {17},
	pages = {37-41},
	month = {April},
	note = {Full text available}
}

Abstract

With the rapid growth of online information there is growing need for tools that help in finding filtering and managing the high dimensional data . text classification is a supervised learning task whose goal is to classify document into the predefined categories. Phases involved in text classification are collecting data set, preprocessing, stemming, and implementing the classifier and performance measure. There are several learning method for Text classification such as Naïve bayes, k-nearest neighbor decision tree, SVM, BPNN etc. algorithm is applied to multilayer feed forward networks consisting of processing element with continuous differentiable activation function. The network associated with back propagation learning algorithm called BPNN. This paper demonstrates the result of text classification using BPNN and relevance factor (rf) as term weighing method.

References

  • Fouzi Harrag,Eyas,EI-Qawasmah, Abdul Malik S. AI Salman(2010) "Comparing dimension reduction techniques for Arabic text classification using BPNN algorithm". international journal conference on integrated intelligence computing. 2010
  • Martinez-Arroya, M(2006). "learning on optimal Naïve Bayes classifier" ,p(1236-1239)
  • Sapan Kevych,N(24-38). "Time Series prediction using support vector mahines A survey" ,p(24-38)
  • Xianfei Zhang, Zhengzhou , Zhengzhor,Bichengli,Xianzhu Sun. "A K-nearest neighbor text classification algorithm based on fuzzy integral",p(2228-2231)
  • Zhihang chen, Chengwe Ni and Yil. "Neural network approaches for text document categorization" p(1050-1060)
  • Jasdeep Singh Malik,Prachi Goyal, Akhilesh K Sharma. " A Comprehensive approach towards data preprocessing techniques &association rules"
  • S. Ramasundram, S. P. Victor, "text categorization by BackPropagation" ,Proc. Int'l journal of computer application pp. (0975-8887). 2010
  • Hao Lili and Hao Lizhu. "Automatic identification of stopwords in Chinese text classification". In proceedings of the IEEE international conference on Computer Science and Software Engineering, pp. (718 – 722)2008.
  • V. Srividhya, Anitha "Evaluating Preprocessing Techniques in Text Categorization" Proc. Int'l journal of computer science and application Issue . 2010
  • Man Lan,Chew Lim Tan,Jain Su,Yue Lu. "Supervised and Traditional Term Weighing Methods For Automatic Text Categorization"Proc. IEEE Transactions on Pattern Analysis and Machine Intelligence pp. (721-735) 2009
  • E. Leopold and J. Kindermann,"Text Categorization with Support Vector Machines. How to Represent Texts in Input Space . Machine Learning" vol. 46,nos. 1-3,pp. 423-444,2002.
  • Tacho Jo "Neural Text Categorizer for exclusive Text categorization" proc journal of information processing system vol 4, no. 2,june 2008
  • Data Pre-processing & Mining Algorithm, Knowledge & Data Mining & Preprocessing, 3rd edition Han & Kamber.
  • H. Drucker, D. Wu, and V. N. Vapnik, "Support Vector Machines for Spam Categorization", IEEE Transaction on Neural Networks, Vol. 10, No. 5, pp. 1048-1054, 1999.
  • M. E. Ruiz, and P. Srinivasan, "Hierarchical Text Categorization Using Neural Networks", Information Retrieval, Vol. 5, No. 1, pp. 87-118, 2002.
  • Miguel E. Ruiz, Padmini Srinivasan "Automatic Text Categorization using neural networks "Advance in classification research vol III.
  • Nita Mathuriya, Ashish Bansal "Comparision of k-means and back propagation algorithm' proc. Int'l journal of computer technology and electronics engineering vol 2, Issue 2
  • YashPal Singh, Alok Singh Chouhan "Neural Networks in Data Mining" Journal of theoretical and applied information technology.
  • S. N. Sivanandam, S. N. Deepa "Principles of Soft Computing "
  • Nitin Mathuriya, Ashish Bansal "Applicability of Backpropagation neural network for recruitment data mining vol 1. Issue 3,2012.