GitHub repository: kvs2000/Multilingual-Toxic-Comment-Classification
Primary language: Jupyter Notebook
Created: 2020-08-04T14:21:38Z
Description: This project is based on NLP (Natural Language Processing) which enables us to classify comments on the basis on toxicity (anything rude, disrespectful comments). If these toxic contributions can be identified, we could have a safer, more collaborative internet. The contest was primarily organized by "Kaggle". This model was made using BERT Multilingual Library and trained using TPUv3-8 (Tensor Processing Unit). The AUC Score achieved by my model was 0.915