A sentiment analysis tool that aggregates news sources from around the world to generate a happiness index. This project aims at facilitating news consumption and to have a concentrate of all important news within a single glance. The project is built using a combination of Python Flask for the backend and React for the frontend.

• Generates a happiness index based on the sentiment analysis of news headlines
• Visualizes the data on an easy-to-use dashboard
• Automated data collection process using web scraping techniques
• Responsive design, can be accessed on any mobile device

• Backend: Python Flask, pandas, nltk, boto3 feedparser
• Frontend: React, react-router-dom, react-globe.gl, CSS

• Clone the repository
• Install the dependencies using pip install -r requirements.txt
• You might have to install nltk additional dependencies manually with 'python -m nltk.downloader all'
• Run the backend server using flask run
• Install the dependencies using npm i
• Run the frontend using npm start

• Access the frontend at hstw.io
• Access the raw data at hstwdrop.co

• Reinforcement of the backend
• Updating the news sources
• Better impartiality in news source and fine-tuning of the scraping algorithm
• Implementation of custom iPhone shortcuts for the visualization to be even faster and easier
• Instagram story generator for particular news that need extra-sharing

• I am currently the sole contributor, but I welcome any contributions and suggestions from the community to improve and expand the capabilities of this tool
• Please feel free to submit a pull request or open an issue

• The project is not to be used for any commercial use wihout the prior agreement of the original Author

• Terence Grover

❤️