Deep Learning-Based Speech Safety Classification System
This project develops an intelligent hate speech and offensive language detection system using deep learning and natural language processing techniques. It preprocesses social media text and classifies content into hate speech, offensive language, or neutral categories using models such as BiLSTM, LSTM, and CNN-LSTM. The system supports automated content moderation and promotes safer online communication.
Project ID: 0710
Sub domains: Deep Learning and NLP
Domain: Python
Project Year: 2026
Keywords: Hate Speech Detection Deep Learning BiLSTM Natural Language Processing Social Media Analysis Text Classification
Project Cost : ₹6500
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