SMS CLASSIFICATION BASED ON NAIVE BAYES CLASSIFIER AND SEMI-SUPERVISED LEARNING

 Short Message Service is one of the most important media of communication due to the rapid increase of mobile users. A hybrid system of SMS classification is used to detect spamor ha m,using various algorithms such as Na�ve Bayes classifier and Apriori Algorithm. So there is needed to perform SMS collection,feature selection,pre - processing,vector creation,filtering process and updating system. Two types of SMS classification exist s in current mobile phone and they are enlisted as Black and White. Na�ve Bayes is considered as one of the most effectual and significant learning algorithms for data mining and machine learning and also has been treated as a core technique in information retrieval.

https://www.ijiert.org/paper-details?paper_id=140926