The mobile technology revolutionizes the world ofcommunications opening up new possibilities for mobilecommerce through Location based Advertising. Disclosing userlocation or personal information is major privacy issue in theseapplications. In this paper, we introduce a new User PrivacyPreferences framework for Geo-Calendar based SMS. SMSblock is based on Textese Vocabulary, Current Location, andSchedule. The algorithm consists of four phases namely RuleAnalyzer, Intelligent Text Miner, Log Filer, SMS dispatcher.Simulated experiments were conducted by collecting largenumber of training data sets for text classification. The resultsprove the prediction accuracy of text classifier and also providehigh location privacy for user based on both content andlocation based attacks