We created the first comprehensive Persian SMS spam database — 4,389 labeled messages collected from various sources — and benchmarked several machine learning algorithms on it. A two-layer perceptron achieved the highest accuracy at 93.55%, establishing this database as a reliable starting point for Persian-language spam detection research.
Available on Civilica: civilica.com/doc/1670746