Evaluate News Article with Natural Language Processing

This project aims to build a web tool that allows users to run Natural Language Processing (NLP) on articles or blogs found on other websites. When a user submits a URL of an article, the web page then displays sentiment analysis returned from meaningcloud API, based on the contents of the article.

This project is the final project for course 4 in FEND ND powered by Udacity.

Build Tools

• HTML5
• CSS3

*Sass

• JavaScript
• Node
• Express
• Webpack
• meaningcloud API
• Jest
• Workbox

Installation

Make sure Node and npm are installed from the terminal.

node -v
npm -v

1. Move to the project folder

   cd <project directory>
   

2. Clone the repo

   git clone <repo>
   

3. Install npm

   npm install
   

4. Sign up for an API key at meaningcloud.com

5. Configure environment variables using dotenv package

   1. Install the dotenv package

      npm install dotenv
      

   2. Create a new .env file in the root of your project
   3. Fill the .env file with your API key like this:

      API_KEY=**************************
      

6. Start the project

To Run Project

(Currently, prod mode allows you to see the results of the API fetch):

• cd into your new folder and run in prod mode
• npm install
• npm run build-prod to generate a dist folder for prod
• npm run start to run the Express server on port 8081

Note: The web page can be accessed with localhost:8081

8. Open browser at http://localhost:8081/

Author: Omar Muhammed Ali.