Starting with NodeJSHapiJS and ReactJS
What you’ll learn
Build a NodeJS/HapiJS API server.
Integrate Python NLP sentiment analysis in their NodeJS application.
Build a ReactJS application that interacts with a server API.
Integrate python in NodeJS.
Basic programming knowledge
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:
Section 1: Introduction
Lecture 1 Introduction
Section 2: Setting up development environment
Lecture 2 Setup NVM, NodeJS, NPM and Atom
Section 3: NodeJS-HapiJS sentiment analysis API
Lecture 3 Initialize NodeJS project
Lecture 4 Configure Babel transpiler
Lecture 5 Start hapi server
Lecture 6 JS Promise explained
Lecture 7 Separate server routes
Lecture 8 Nodemon for auto-reload
Lecture 9 Introduce NLTK (Natural Language ToolKit) for sentiment analysis
Lecture 10 Implement sentiment analysis Python module
Lecture 11 Integrate sentiment analysis python module via Python-shell
Section 4: ReactJS Client App for interacting with sentiment analyzer API backend
Lecture 12 Start with create-react-app
Lecture 13 Create form component
Lecture 14 Add styles to form
Lecture 15 Add event handler to textarea in form
Lecture 16 Onclick listener and fetch API
Anyone who wants to learn to build NodeJS/HapiJS API servers.,Anyone who wants to learn to integrate sentiment analysis into their server.,Anyone who wants to learn to integrate Python in their NodeJS applications.,Anyone who wants to start building applications with ReactJS.
Udemy | English | 1h 53m | 478.27 MB
Created by: Evans Boateng Owusu