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Content-Based Smishing (SMS Phishing) Detection with Short-Form Text Normalization

A content-based approach to detecting smishing (SMS phishing) messages that first normalizes slang, abbreviations, and short forms into standard word forms to raise classifier accuracy, then applies a supervised machine-learning classifier over an effective feature set to label each SMS as smishing or ham.