MULTI-STAGE FILTERING ALGORITHM FOR DETECTING OBFUSCATED SPAM MESSAGES IN THE UZBEK LANGUAGE
DOI:
https://doi.org/10.47390/ts-v4i4y2026N01Keywords:
spam, SMS spam, obfuscated spam, spam filtering, machine learning, text classification, Uzbek language.Abstract
This paper considers the problem of detecting obfuscated spam messages in the Uzbek language. A multi-stage filtering algorithm including text preprocessing, obfuscation normalization, feature extraction, and classification is proposed. Experimental results show that the proposed algorithm improves spam detection performance.
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