This project is to classify toxic and abusive comments from huge bunch of text.
I have gave training for these 6 type of toxic comments :

1. toxic
   
2. severe_toxic
   
3. obscene
   
4. threat
   
5. insult
   
6. identity_hate
   

Data cleaning is also done before this training and testing. I only have kept alphabetic latters and some punctuation marks. No numbers or any other sysmbols.

We can do this task on any given chunk of data. We can pick the highest probability class to choose the type of toxicity.

Have a look at https://github.com/prashant-kikani/toxic-comment-classifier/blob/master/test.ipynb to get the clear idea.