Sweet Tweets Part 2

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This is the second video in a three video series called Sweet Tweets! This is a web application that takes in an input, searches Twitter for tweets or users relating to that query, and sends the content of those tweets to Azure Machine Learning Text Analytics on the Microsoft Azure Marketplace to determine sentiment of the content (ex. are the tweets positive or negative). This project was written with Node.js, Express, Angular, and may include MongoDB in the future using Visual Studio Code and Visual Studio Online. The web app is hosted on Microsoft Azure and all the code is continuously deployed and available on GitHub here. The live demo is here!

In this video, the bulk of the project code is completed and access tokens from Twitter Developers and Microsoft Azure Marketplace are secured and added to the project. Angular JS is implemented and api calls to for tweets and text analytics are created. 

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