Multi-Label Toxic Comment Classification Using Machine Learning: An In-Depth Study
The classification of toxic comments is a well-researched area with many techniques available. However, effectively managing multi-label categorization still requires a considerable amount of work. In this thesis, we performed a classification experiment on over 200 thousand comments from the Jigsaw toxic comment competition data available on Kaggle. We aimed to optimize a model to identify six di
