Capstone project at Western Governors University.
For this project, I am making a toxic comment classifier. The purpose of this project is to build a machine learning model that can take a comment and determine if it is toxic in some way. It will break the comments down into the categories of toxic, severe_toxic, obscene, threat, insult, and/or identity_hate.
This project requires the following third-party modules: tkinter pandas joblib Sci-Kit Learn MatPlotLib Numpy PyQt5 NLTK
Additional requirements: After installing NLTK, open a Python terminal. Type the following commands: import nltk nltk.download('punkt') nltk.download('stopwords') nltk.download('wordnet')