This Project is part of IBM Hack Challenge 2020. It is a visualization dashboard Webapp imitating descriptive statistics and summaries of COVID-19 tweets data.
All the whereabouts and working of the project and app can be found in this video and this presentation.
Webapp is deployed here.
Data for this app is taken from here due to inavailability of twitter API
- Minimal and Cool UI
- Qualitative analysis with plots
- Lightweight (fast loading speed)
- Supports user interactions
- To be updated...
- Make sure you have Python3 on your path.
- Clone the repository
git clone https://github.com/SmartPracticeschool/SBSPS-Challenge-4564-Sentiment-Analysis-Dashboard-of-COVID-19-tweets.git
- (optional) create and activate new virtualenv or conda env:
pip install virtualenv
virtualenv venv
source venv/bin/activate
or, with conda:
conda create --yes -n dash_docs
source activate dash_docs
pip install -r requirements.txt
python app.py
- This app is not yet responsive for all screen sizes and that's why while loading, it throws an alert for the same.
- As there was no access to twitter's API, the data is taken from web and sentiment of tweets used was precomputed using textblob.
- This app would be updated manually per week, as there is no automation script yet for the tasks.