Sweet Tweets Part 3

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This is the third 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!


This part of the series pushes all of the code to GitHub, walking through how to create a repository and use Visual Studio Code's GitHub feature to sync. A web app is created on Microsoft Azure and the project is setup to continuously monitor changes in the repository and automatically update the website. A few minor tweaks are made to the file structure using Visual Studio Online.



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