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Toxic Comment Classification Thesis Formatted by arsalan.20232n is a document available to read on EtoBox.
What is Toxic Comment Classification Thesis Formatted about?
This final year project report presents an automated system for toxic comment classification using Long Short-Term Memory (LSTM) neural networks, comparing its performance with traditional machine learning methods. The study utilized the Jigsaw Toxic Comment Classification Challenge dataset, achieving a mean ROC-AUC score of 0.9641 for the LSTM model, while the Logistic Regression baseline scored 0.9713. The project also includes an interactive web application for real-time classification of user comments,
- Author
- arsalan.20232n
- Language
- EN