https://github.com/streamlit/example-app-bert-keyword-extractor

https://github.com/streamlit/example-app-bert-keyword-extractor

Last synced: 5 months ago
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• Host: GitHub
• URL: https://github.com/streamlit/example-app-bert-keyword-extractor
• Owner: streamlit
• Created: 2021-11-08T11:21:07.000Z (over 3 years ago)
• Default Branch: main
• Last Pushed: 2024-01-12T17:43:01.000Z (over 1 year ago)
• Last Synced: 2025-01-29T10:36:46.236Z (5 months ago)
• Language: Python
• Size: 59.6 KB
• Stars: 64
• Watchers: 10
• Forks: 67
• Open Issues: 16
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
[![Open in Streamlit](https://static.streamlit.io/badges/streamlit_badge_black_white.svg)](https://share.streamlit.io/streamlit/example-app-bert-keyword-extractor/main/app.py)

# Bert Keyword Extractor

- The BERT Keyword Extractor app is an easy-to-use interface built in

   Streamlit for the amazing KeyBERT library from Maarten Grootendorst!

 - It uses a minimal keyword extraction technique that leverages

   multiple NLP embeddings and relies on Transformers 🤗 to create

   keywords/keyphrases that are most similar to a document.

![image](https://user-images.githubusercontent.com/27242399/140746511-1205f24a-869f-4b24-9ed7-9153cfeef8e3.png)