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TRANSFORMER BASED BI-LSTM DEEP LEARNING MODEL FOR AUTOMATIC CYBERBULLYING DETECTION IN KAZAKH TEXTUAL DATA

DEEP LEARNING-BASED CYBERBULLYING DETECTION IN KAZAKH: A HYBRID APPROACH FOR IMPROVED TEXT CLASSIFICATION

POSSIBLE PROBLEMS WHEN USING VIRTUAL REALITY IN LEARNING

CLASSIFICATION OF HATE SPEECH IN ONLINE CONTENTS, IDENTIFICATION AND IMPACT ON SOCIETY