How to Easily Find Keywords in a Document with KeyBERT in Python
📚 What You'll Learn:
Introduction to KeyBERT: Understand what KeyBERT is and why it's a valuable tool for digital humanities.
Installation and Setup: Learn how to install KeyBERT and set it up with the transformer model of your choice.
Preparing Texts: We'll walk you through preparing three different texts for analysis.
Extracting Keywords with KeyBERT: Dive into the code to extract keywords from each text using the KeyBERT model.
Conclusion & Further Exploration: Wrap up the lesson and explore how you can customize KeyBERT for your research.
📖 Ideal for Digital Humanists:
This tutorial is tailored for digital humanists who want to explore key themes, characters, or ideas in textual data. Whether you're working with literary classics or contemporary texts, KeyBERT can help you uncover the essence of the text.
🔗 Resources & Links:
KeyBERT: https://github.com/MaartenGr/KeyBERT
Textbook: http://intermediate-python.pythonhuma...
The Notebook: https://github.com/wjbmattingly/inter...
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