An Introduction to Text Classification in Python for Beginners

I've realized that while students are generally able to copy and paste online code and somehow make their code work, many students who are new-ish to text classification might still not understand what every line of code does. This article will hence attempt to make every line as clear as possible. Using this dataset, we aim to build a machine learning model that can predict if a given review has a negative or positive sentiment. For instance, if we feed our model a review "this is quite bad and disappointing", it should predict the review's sentiment as a 0. If we feed it a review "quite happy with my purchase", our model should predict the review's sentiment as a 1. Run this command in your command prompt or terminal, and the libraries pandas and scikit-learn will be installed on your computer. Here, we need to use the import keyword to tell Python that we want to use these libraries.