Evaluate a news article with Natural Language Processing Project

This repository creates a little client-server-side web application that can send text snipets to the MeaningCloud Sentiment Analysis API and display the results. It's a great starting point if you are interested in learning about

• Setting up Webpack
• Sass styles
• Webpack Loaders and Plugins
• Creating layouts and page design
• Service workers
• Using APIs and creating requests to external urls
• Basic Natural Language Processing

Initial Page

Results

Installation instructions

In the terminal run:

• git clone https://github.com/mikeyaguila/evaluate-news-nlp.git
• cd evaluate-news-nlp
• Run npm install to install all dependencies listed in package.json. Among them are e.g., webpack, babel, node-sass, and jest (and some more). Checkout the file if you are interested.

Get API Credentials for Meaningcloud

• Go to meaningcloud.com and create an account. It is free to check how many requests you have remaining for the day.
• Create a file called .env in the root evaluate-news-nlp folder and paste this line inside the file API_KEY=xxxxx<API_KEY>xxxxxx and put your API key here.

Running the App (Production Mode)

• Run npm run build-prod. This should finish without an error.
• Run npm run start
• Go to http://localhost:8081/ in your browser (e.g. Firefox, Google Chrome). By default, this app runs on port 8081, but you can edit that in src/server/index.js.
• Wait a second and see the results displayed in the website.

Running the App (Developer Mode)

• Open another terminal tab ad run npm run build-dev. Now, Chrome should open a tab then automatically navigate to http://localhost:8080/.

Testing the App With Jest

If you want to check out the basic Jest unit tests in the repository then

• Run npm run test or npm test in the terminal and look at the test information displayed.

Extend This Project

• Deploying the project e.g., on Netlify or Heroku should be fun.
• You could display more information received from the MeaningCloud API call.

Acknowledgements

This project focuses on Udacity's Front End Web development Nanodegree.