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@article{176453,
        author = {RAMLIKHIT R K and NARESH KUMAR A and PRADEEP T and DHINESHVARAN S},
        title = {HATE SPEECH DETECTION USING DEEP LEARNING},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5606-5615},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176453},
        abstract = {In the digital age, the rapid spread of hate speech on online platforms poses a significant societal challenge. Manual moderation of the vast amounts of user-generated content is neither practical nor efficient, necessitating the development of automated detection systems. This research introduces an advanced hate speech detection system that leverages state-of-the-art machine learning techniques to analyze and classify textual content in real time. By utilizing deep learning models, including neural networks and transformer-based architectures, the system ensures high accuracy while minimizing false positives. Our approach enhances the effectiveness of content moderation, contributing to a safer and more inclusive online environment.},
        keywords = {},
        month = {April},
        }