Discord Bot for Abusive Language Detection using CNN
Vishal Krishnan, Mrs M.Sumithra, Kaushik Vishal S, Syed K Reyhaan
Discord, abusive language detection, Convolutional Neural Networks (CNN), Community moderation, Text classification, Model training.
This project presents a Discord bot designed to enhance online community moderation by employing Convolutional Neural Networks (CNNs) for the detection of abusive language within messages. As online communication platforms like Discord continue to grow in popularity, maintaining a positive and respectful environment becomes increasingly challenging. The proposed bot utilizes advanced natural language processing techniques, leveraging CNNs to analyze textual content and identify patterns associated with abusive language. By integrating seamlessly into Discord servers, this bot aims to provide real-time monitoring and moderation, thereby fostering healthier and more inclusive online communities.
Article Details
Unique Paper ID: 163914

Publication Volume & Issue: Volume 10, Issue 12

Page(s): 39 - 44
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