Sentiment Analysis of COVID-19 Tweets - Visualization Dashboard

Twitter has always been a platform where people come together to put forth their opinions about issues. The current global concern is COVID-19 and this has led to a tremendous uproar of tweets relating to COVID-19. The large amounts of tweets produced definitely provide us the opportunity to analyze the tweets for all possible information - from people's activity and involvement to how the people are emotionally affected by the pandemic.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites

What things you need to install the software

pyhton 3.8
node.js 12.16
Twitter Developer Account
MongoDB Atlas Account

Installing

A step by step series of examples that tell you how to get a development env running

1. Setting up the Environment Variables

   Create .env files and add the values as present in the .env.template file.

2. Running the Flask Server

cd core
pip install -r requirements.txt
python ml_server.py

3. Running the Express.js server

npm i
npm start
cd frontend
npm i
npm run build

Now, go to localhost:3001 on your browser to start using the app

Deployment

The project is deployed on IBM Cloud Foundry. Link

Built With

• React.js - The web framework used
• Express.js - Backend (javascript)
• Socket.io - Real-Time communication engine
• Flask - Backend (python)
• MongoDB Atlas - Cloud Database

Contributers

• Nipun Haldar
• Rahul Hebbar
• Kesava Karri
• Aditya Kumar

License

This project is licensed under the MIT License - see the LICENSE file for details