Skip to content

carpentries-incubator/Natural-language-processing

Repository files navigation

Fundamentals of Natural Language Processing (NLP) in Python

This lesson is about the fundamentals of natural language processing in Python.

Teaching this lesson?

Do you want to teach natural language processing in Python? This material is open-source and freely available. Are you planning on using our material in your teaching? We would love to help you prepare to teach the lesson and receive feedback on how it could be further improved, based on your experience in the workshop.

You can notify us that you plan to teach this lesson by creating an issue in this repository. Also, it would be great if you can update this overview of all workshops taught with this lesson material. This helps us show the impact of developing open-source lessons to our funders.

Target Audience

The lesson is designed specifically with researchers in the Humanities and Social Sciences in mind, but is also applicable to other fields of research. We expect them to know the basics of Python, Git and statistics.

Contributing

We welcome all contributions to improve the lesson! Maintainers will do their best to help you if you have any questions, concerns, or experience any difficulties along the way.

Do you have an idea on how to contribute to this lesson? Check out the current issues we're working on. If your idea isn't listed, feel free to open a new issue.

Check our Contribution Guide and the Carpentries Guidelines for tips on rendering pages, formatting and understanding the Carpentries template. You can also learn more about developing curriculum content.

Authors and Maintainers

Citation

To cite this lesson, please consult with CITATION.cff. This also holds a list of contributors to the lesson.