A Study on Analysis of SMS Classification Using TF-IDF weighting
International Journal of Computer Networks and Communications Security · 2013
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.