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@article{174660,
        author = {Mathuvanthi V and Nivethidha S and Ramya S and Mrs. M. Kasthuri},
        title = {Shield: Social Hate Identification And Emotion Led Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {364-369},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174660},
        abstract = {Social media allows users to express themselves freely, but it also facilitates the spread of hate speech, particularly in comment sections. This project, titled " Social Hate Identification And Emotion Led Detection " proposes a Java-based software framework for detecting and analyzing hate speech, with a focus on fat-shaming content. The framework utilizes sentiment and emotion analysis to identify and categorize hate speech, converting unstructured data into structured formats for further study. By integrating sentence classification techniques, it enhances detection accuracy. This project aims to support researchers and policymakers by providing an automated tool to analyze and combat online hate speech effectively.},
        keywords = {Hate Speech Detection, Social Media Analysis, Sentiment Analysis, Emotion Analysis, Fat-Shaming, Unstructured Data, Data Integration, Sentence Classification, Java Framework, Online Hate Speech.},
        month = {March},
        }