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.babelrc (41, 2020-08-07)
.env (41, 2020-08-07)
package-lock.json (654541, 2020-08-07)
package.json (1080, 2020-08-07)
src (0, 2020-08-07)
src\client (0, 2020-08-07)
src\client\index.js (261, 2020-08-07)
src\client\js (0, 2020-08-07)
src\client\js\checkForName.js (413, 2020-08-07)
src\client\js\formHandler.js (1298, 2020-08-07)
src\client\styles (0, 2020-08-07)
src\client\styles\base.scss (160, 2020-08-07)
src\client\styles\form.scss (177, 2020-08-07)
src\client\styles\header.scss (90, 2020-08-07)
src\client\styles\resets.scss (1158, 2020-08-07)
src\client\views (0, 2020-08-07)
src\client\views\index.html (1881, 2020-08-07)
src\server (0, 2020-08-07)
src\server\index.js (1289, 2020-08-07)
src\tests (0, 2020-08-07)
src\tests\checkForName.test.js (222, 2020-08-07)
src\tests\handleSubmit.test.js (223, 2020-08-07)
webpack.dev.js (1203, 2020-08-07)
webpack.prod.js (1229, 2020-08-07)

# Project The goal of this project is to set up both dev and prod environments using Webpack, then configure MeaningCloud Sentiment Analysis API which uses Natural Language Processing (NLP) to analyze text data from any URL. For example a news article. The data returned includes A. The level of agreement B. How subjective the text is C. The confidence associated with the sentiment analysis performed on the text D. If the article is ironic or not The project uses the following dependencies: 1. Node 2. Express 3. Body parser 4. Cors 5. Babel 6. Clean webpack plugin 7. Mini css extract plugin 8. Optimize css assets webpack plugin 9. Jest # Natural Language Procesisng NLPs leverages machine learning and deep learning create a program that can interpret natural human speech. Natural language processing (NLP) is a subfield of computer science, information engineering, and artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.

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