Build a Brand Sentiment Analysis Extension for Twitter
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Create a browser extension for sentiment analysis on Twitter posts. Visualize sentiment with a pie chart using Chart.js. Learn machine learning in practice and create effective browser extensions.
At a Glance
Are you a Twitter enthusiast who wants to quickly see the tweets’ sentiment on your timeline? Or maybe you’re an organization and want to understand the sentiment behind your brand. Whatever the reason, this lab will show you how to create a simple browser extension that performs sentiment analysis on Twitter posts and displays the results in an easy-to-consume format.
In this project, you will develop a browser extension that uses sentiment analysis to analyze the tweets on your screen and display the results in a pie chart. This will provide a visual representation of the sentiment of the tweets, allowing you to quickly and easily understand the overall sentiment on the page. The extension will use Chart.js, a popular JavaScript library for creating charts, to create the pie chart. Additionally, you will use a pre-trained machine learning model to perform sentiment analysis on the text of the tweets. This project will provide you with a hands-on opportunity to learn about machine learning in practice, as well as how to create browser extensions and use Chart.js.
