Table of Contents
The Computer School Graduate students created this project at Clemson University in the “Software Development Methodology” class in Spring 2022.
This project consists of a web application tool for qualitative and mixed methods data analysis. It is a data labeling tool.
- Create a tool that helps users identify phrases and mark them with a specific label in Phyton.
- Facilitate the labeling process for users.
- Create an open-source project so that the developer community can access the main code.
- Transparently show how the web application handles the information entered.
- Expose the programming skills of our students.
You can see here in Figma the full wireframe design.
See the open issues for a full list of proposed features (and known issues).
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!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
Distributed under the MIT License. See LICENSE.txt for more information.
Kita Pairojtanachai (Chris) | GitHub | @LinkedIn | Email
Roger Rivas | GitHub | @LinkedIn | Email
Nikhil Suresh | GitHub | @LinkedIn | Email
Rishav Karanjit | Github | @LinkedIn | Email
Sangamesh Itagi | Github | @LinkedIn | Email
Vandini Modi | Github | @LinkedIn | Email
Mayank Dineshkumar Patel | Github | @LinkedIn | Email
Chaitanya Mandru | Github | @LinkedIn | Email
Frontend: Rishav karanjit | Github | @LinkedIn | Email
Backend: Zachary Ikpefua | Github | @LinkedIn | Email
Special thanks to the entire group of master's students in the "Software Development Methodology" class who contributed their time and knowledge to make this project possible.