Detecting Telugu Hate Speech Using AI Models

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This project explores the detection of hate speech in Telugu on digital platforms, focusing on the challenges of low-resource languages. It reviews various detection techniques, including traditional machine learning, deep learning, and transformer models. The methodology encompasses Twitter data collection, annotation, preprocessing, and model training. Evaluation shows comparative model performance, with insights into the effectiveness of transformers. The conclusion highlights...