Abstract:
We live in a
the evolution of the Internet, the use
ication has increased significantly in recent years cornmun
the door to trolls poisoning these
others. Detecting toxic comments online has become an important issue in recent years.
defined as obscene, inappropriate or abusive comments that leave
Current methods of dealing with online poisoning often rely heavily
not measurable enough to handle the growing number
Toxic comments are
you speechless.
on manual moderation and are
project Toxic Comment Classification model through
identify toxicity, identity-hate, threats, severe-toxic, obscene etc and
of identification of toxic material on online
of users on a daily basis. Our
■ which we can
through this we can automate the process
forums and other communication platforms. Different techniques and models whieh
involving like data analysis, data
we used for the identification and different stages
ion and other neural network and machine learning processing, TF/IDF, logistic regression
models which will be studied and discussed.
