Toxic Comments Classification

A project developed in Python.

Information

Python libraries that are used in this project are:

• Pandas
• nltk(Natural Language Toolkit)
• re(Regular Expression)

Using nltk (Natural Language Toolkit) library to perform these tasks:

• Tokenization (Tokenization is a way of separating a piece of text into smaller units called tokens.)
• Removing stopwords (eliminate words that are so commonly used that they carry very little useful information.)
• Stemming (Stemming is the process of reducing a word to its word stem that affixes to suffixes and prefixes or to the roots of words known as a lemma)

Converting comment_text column into vectors by using CountVectorizer().

Then train our machine learning model(Multinomial Naive Bayes algorithm).