Kaggle's competition on Toxic Comment Classification. The dataset consists of many toxic comments used by users in social media. The main aim of the project is to classify each comment into 6 different categories based on its toxicity level. This is achieved using CNN.
This project was implemented to detect the toxicity levels of each comment used in social media. This model could be used to easily identify the most toxic comments and remove them or hide them from younger people. In today's world people of every age are using social media. There are many young users as well. But very young users don't understand the meaning of these toxic comments and try to learn the meaning of them. These comments could be hided in the comments section for those particular users.