Identification of Offensive content from Social media
The paper introduces a system designed to detect offensive text embedded in social media images. With the rise of user-generated content, harmful behaviors like hate speech and cyberbullying have become more prevalent, particularly within images and memes. To address this, the proposed system combines deep learning and natural language processing techniques to identify and classify toxic content. Index Terms—Deep learning, YOLO
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-05-23
- DOI
- https://doi.org/10.5281/zenodo.15538608
- Primary Topic
- Photosynthetic Processes and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00