Sentiment Analysis Using Machine Learning and Python

Sentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. In this article, I will show you how to build your own program to determine if an article on a website is positive, negative, or neutral using the Python programming language. If you prefer not to read this post and would like a video representation of it, you can check out the YouTube Video below and the full code on my Github. It goes through everything in this article with a little more detail and will help make it easy for you to start programming your own article sentiment analysis program even if you don't have the programming language Python installed on your computer. Or you can use both as supplementary materials for learning!