MULTINOMIAL NAIVE BAYES FOR KAZAKH LANGUAGE SPAM DETECTION: A CASE STUDY WITH MORPHOLOGICAL ANALYSIS
Abstract. The growing number of spam messages in digital communication highlights the urgent need for effective spam detection systems, particularly for languages that lack sufficient digital resources, such as Kazakh. This research aims to develop a machine learning-based approach tailored for spam detection in Kazakh messages, utilizing various text preprocessing techniques and methods to enhance […]