War in Ukraine - Twitter analysis

Natural Language Processing with Twitter data
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents

1. About The Project
2. Requirements
3. Usage
4. Contributing
5. License
6. Contact

About The Project

This repository contains advanced NLP analysis of tweets written during the first week of Russian invasion of Ukraine. We scraped over 10 million tweets from the first week of Russian invasion (check our data directory) and performed advanced topic modelling on them using BERTopic. We also developed an interactive application with Streamlit with some cool visualizations.

(back to top)

Requirements

This section lists some major frameworks/libraries used in our project. You don't have to download them if you want to use our Streamlit app.

• spaCy
• BERTopic
• NumPy
• pandas
• Streamlit

(back to top)

Usage

To use our app, please click on this link!

For more examples, please refer to the Presentation

(back to top)

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
3. Commit your Changes (git commit -m 'Add some AmazingFeature')
4. Push to the Branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

(back to top)

License

Distributed under the GNU General Public License v3.0. See LICENSE.txt for more information.

Authors

• Jan Skwarek
• Jakub Kozieł
• Tomasz Nocoń

(back to top)

Contact

• Jan Skwarek - janskwarek@protonmail.ch - Instagram - Facebook - LinkedIn
• Jakub Kozieł - LinkedIn
• Tomasz Nocoń

Project Link: https://github.com/janskwr/Russia-Ukraine-Twitter-Analysis

(back to top)