TAILIEUCHUNG - A study on analysis of sms classification using TF-IDF weighting

This weighting method based on statistical estimation of the importance of a word for an SMS categorization problem. The experiments reported in the paper shows that this weighting method improves significantly the classification accuracy as measured on many categorization tasks. | International Journal of Computer Networks and Communications Security C VOL. 1, NO. 5, OCTOBER 2013, 189–194 Available online at: ISSN 2308-9830 N C S A Study on Analysis of SMS Classification Using TF-IDF Weighting Dr. Ghayda A. Al-Talib1, Hind S. Hassan2 12 Dept. of Computer Sciences, College of Mathematics and Computer sciences, University of Mosul, Mosul, Iraq. E-mail: 1ghaydatalib@, 2hind_computers@ ABSTRACT SMS classifying technology has important significance to assist people in dealing with SMS messages. Although sms classification can be performed with little or no effort by people, it still remains difficult for computers. Machine learning offers a promising approach to the design of algorithms for training computer programs to efficiently and accurately classify short text message data In this paper we introduce a weighting method based on statistical estimation of the importance of a word for an SMS categorization problem, which will classify Mobile SMS into predefined classes such as occasions, friendship, sales etc. All sms are converted into text documents. After preprocessing vector space model is prepared and weight is assigned to each term. This weighting method based on statistical estimation of the importance of a word for an SMS categorization problem. The experiments reported in the paper shows that this weighting method improves significantly the classification accuracy as measured on many categorization tasks. Keywords: Data Mining, text Classification, SMS, vector space model, TF-IDF Technique. 1 INTRODUCTION In the recent few years Short Message Service (SMS) has emerged as a popular means of communication between mobile users. The concept of SMS (Short Messaging Services) was highly successful, and soon became almost as important as the facility to have a voice communication. Today, this service is almost free, or being offered at a negligible cost [1]. Text Classification is the process of .

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• International Journal of Computer Networks and Communications
• A study on analysis of sms classification
• TF IDF weighting
• Vector space model
• The classification accuracy
• International Journal of Computer Networks and Communications Security
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