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

Setting up the Environment Variables

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

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

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

License

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