A Survey on Toxic Comment Classification |
Author(s): |
| Abhishek V. Lokhande , Savitribai Phule Pune University; Dr. B. K. Sarkar, PVPIT, Pune |
Keywords: |
| Deep Learning, NLP, Toxic Comment Classification, Machine Learning, Text Mining |
Abstract |
|
The growing demand for the Internet has given rise to social issues such as abusive behaviour which comprises intolerable comments, personal attacks, online harassment, and bullying. It is indispensable to categorize the comments based on toxicity to prevent the bullying on the social network. The industry, as well as the research community including the Jigsaw team from Google, has started putting endeavours towards addressing this belligerent issue. Google is looking for proposing an efficient model for online prediction and scoring of toxic comments. In this paper, we are presenting a comprehensive survey on a classification of toxic comments and also providing a future roadmap for online toxic comments classification. |
Other Details |
|
Paper ID: IJSRDV7I50336 Published in: Volume : 7, Issue : 5 Publication Date: 01/08/2019 Page(s): 428-431 |
Article Preview |
|
|
|
|
