Toxic Speech Classification

It is a full-fetched web application.Based on sentiment Classification, by using nltk library it predicts that a speech is how much toxic, sever toxic, insult, obscene, threat.

Where Front-End looks like this

Home Page	Result Page

Here simple CSS & HTML is used with POST method to send the data.

For Back-End app.py, I use FLASK framework of Python

Main Libraries Used

• Pandas
• Matplotlib.pyplot
• NLTK
• Pickle