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[ FreeCourseWeb ] Udemy - Starting with NodeJS-HapiJS and ReactJS torrent


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Torrent added:2020-07-27 23:15:42
[ FreeCourseWeb ] Udemy - Starting with NodeJS-HapiJS and ReactJS


Download [ FreeCourseWeb ] Udemy - Starting with NodeJS-HapiJS and ReactJS torrent




Torrent Description
[ FreeCourseWeb.com ] Starting with NodeJS-HapiJS and ReactJS

Download More Latest Courses Visit -->> https://FreeCourseWeb.com



MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 16 lectures (1h 53m) | Size: 191 MB
Build Restful sentiment analysis API with HapiJS, connect with React. Learn NodeJS, ReactJS, NLTK-sentiment analysis
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.
Understand Promises in JavaScript.
Understand fetch API in JavaScript.
Integrate python in NodeJS.

Requirements
Basic programming knowledge

Description
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.

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