Bilakhanova A.Ydvrys A.Sultanova N.2024-01-042024-01-042023Bilakhanova A , A. Ydvrys , N. Sultanova / IDENTIFYING SPAM MESSAGES FOR KAZAKH LANGUAGE USING HYBRID MACHINE LEARNING MODEL / СДУ хабаршысы - 20232709-2631https://repository.sdu.edu.kz/handle/123456789/1099Abstract. This paper describes a spam detection system for Kazakh Language using Hybrid Machine Learning Model. The lack of spam detection systems in the Kazakh language calls for the need of a proposed system that can identify unwanted messages. The system integrates multiple Machine Learning algorithms to accurately classify spam and non-spam messages. The performance of the system is evaluated using metrics such as accuracy, precision, recall, and Fl-score. Results show that the proposed solution outperforms existing spam detection techniques in terms of detecting spam with a low false positive rate and high accuracy. The findings of this research contribute to the development of effective spam detection systems for the Kazakh language and provide insights for future work in this field.enSpam classificationspam detectionspam filtering methodsmachine learningdata preprocessing for Kazakh languageСДУ хабаршысы - 2023№1Article