With this course, you will learn to build a NodeJS (HapiJS) JSON-based Restful API backend for sentiment analysis and a ReactJS client that interacts with the API. HapiJS, a rich and configuration-centric server framework for NodeJS allows  us to build powerful and configurable applications. Moreover, sentiment analysis allows automated reasoning about sentences to determine whether they are positive, negative or neutral. A popular use case is to find out how people feel about a product or service. This is course introduces you to a powerful Python package, NLTK (Natural Language ToolKit), that allows you to do more than sentiment analysis. Aside from learning and building together a HapiJS API and ReactJS App, we learn how to integrate the NLTK Python package (and for that matter any other Python package) into a NodeJS application.

We will start by first building a HapiJS server that can receive texts and send simple responses. We will interact with our server via Chrome's Postman plugin. Then, we will integrate VADER NLTK sentiment analysis into the server, that will allow the server to determine the sentiments of sentences in English. Afterwards, we will build a ReactJS client that allows us to enter and send sentences to the server and display the sentiment of a our sentence.

So, in summary, this learning by doing doing course is prepared for you to:

• learn the HapiJS framework of NodeJS for building API backends.
• learn to use the VADER module of the NLTK (Natural Language ToolKit) for sentiment analysis.
• learn to integrate Python modules into NodeJS.
• learn to build apps in ReactJS.
• understand the new concepts in JavaScript (e.g Promise, arrow functions, etc).