One of the most common applications of text analysis is sentiment analysis on social media posts, with Twitter being a common data source. Gathering Twitter sentiment data isn’t actually too difficult once you have the right tools. This tutorial will walk you through the steps required to connect to the Twitter API, search for Tweets, and perform sentiment analysis using AlchemyAPI’s sentiment API.
Here, we will show you how to get the data, calculate sentiment, and do some basic analysis and visualization of your results. By the end of this guide you’ll be ready to expand on this simple application to create an extremely powerful solution. While this tutorial uses Python and R, it should be easy to follow a similar methodology to recreate this application in the programming language(s) of your choice.