Identification of Offensive content from Social media
Year: 2025
Type: article
Abstract: 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
Author: Megha, AJCE
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W6930994917
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