gunjan1997 / toxic-comment-classifier

Toxic-Comment-Classifier

Introduction:

With rise of social media coupled with the Covid-19 pandemic, cyberbullying has reached all time highs. We can combat this by creating models to automatically flag potentially harmful tweets as well as break down the patterns of hatred.

Objective:

Explore words and patterns associated with each type of cyberbullying Create a multiclassification model to predict cyberbullying type Create a binary classification model to flag potentially harmful tweets

About the Dataset

In light of all of this, this dataset contains more than 47000 tweets labelled according to the class of cyberbullying:

Age;
Ethnicity;
Gender;
Religion;
Other type of cyberbullying;
Not cyberbullying The data has been balanced in order to contain ~8000 of each class.

Trigger Warning These tweets either describe a bullying event or are the offense themselves, therefore explore it to the point where you feel comfortable.