Social Media Forensics An Adaptive Cyberbullying Related Hate Speech Detection Approach Based on Neural Networks With Uncertainty
To develop an adaptive social media forensics framework that detects cyberbullying-related hate speech using neural networks. The approach focuses on handling uncertainty in language patterns for more accurate and reliable detection.
Project ID: 0001
Sub domains: Data mining
Domain: Java
Project Year: 2024
Keywords: Cyberbullying Social Media Neural Networks data mining Hate Speech Detection
Project Cost : â‚ą6500
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