Sentiment Analysis On COVID-19 Tweets Visualization Dashboard

This is an application that was developed for IBM Hack Challenge 2020.

The main objective of this application is to analyze the current tweets related to COVID - 19 and lockdown. By analyzing the tweets, We can understand the sentiment levels (Anger, Joy, Sadness, Disgust, Fear) of the people in the country. Those analyzed data can be represented in various forms of charts and graphs, which will be very useful to understand. We can also predict the future sentiment levels of the people, which will be very useful for the government to understand the response for a particular decision. For example, If lockdown gets extended.

Youtube Video Link - https://youtu.be/VOov5hqbAx0

About the Project
- Built With
Development
- Configurations
- Installation
Contact

Built With

This project would never have been possible without these wonderful frameworks.

ReactJS
NodeJS
MongoDB
Socket IO
Tweepy

Configurations

Dependency	version
Node	v11.10.1
NPM	6.7.0
Yarn	1.22.4

Installation

Clone the repository.

git clone https://github.com/SmartPracticeschool/SBSPS-Challenge-839-Sentiment-Analysis-Visualization-Dashboard-On-COVID---19-Tweets.git

Install the dependencies

Install the backend dependencies

pip install requirements.txt

Install the frontend dependencies

cd client
yarn install

Usage

Run the backend server

flask run

Run the frontend

cd client
yarn start

Contributors

Gowshik Prabhu | Shri Saran Raj

SmartPracticeschool/SBSPS-Challenge-839-Sentiment-Analysis-Visualization-Dashboard-On-COVID---19-Tweets