In this project, I make use of the embedded Watson AI libraries, to create an application that performs sentiment analysis on a provided text. I also go through steps such as running unit tests, static code analysis and deploying the application over the web using the Flask framework.

• Create a sentiment analysis application using Watson NLP library
• Format the output of the application
• Package the application
• Run Unit tests on your application
• Deploy as web application using Flask
• Incorporate Error handling
• Run static code analysis