https://github.com/somenath203/named-entity-recognizer

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https://github.com/somenath203/named-entity-recognizer

huggingface huggingface-spaces named-entity-recognition ner spacy streamlit torch transformers

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• Host: GitHub
• URL: https://github.com/somenath203/named-entity-recognizer
• Owner: somenath203
• Created: 2024-05-13T10:41:29.000Z (9 months ago)
• Default Branch: main
• Last Pushed: 2024-05-13T13:12:10.000Z (9 months ago)
• Last Synced: 2024-11-15T00:50:31.024Z (2 months ago)
• Topics: huggingface, huggingface-spaces, named-entity-recognition, ner, spacy, streamlit, torch, transformers
• Language: Jupyter Notebook
• Homepage: https://som11-named-entity-recognition.hf.space/
• Size: 11.7 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Named Entity Recognizer

This project is designed to help user extract and categorize named entities from text using state-of-the-art NLP models like `dslim/bert-base-NER` and Spacy's `en_core_web_sm model`.




Named Entity Recognition (NER) is a key task in natural language processing that involves identifying and classifying key information (entities) in text into predefined categories. This can include names of people, 

organizations, locations, expressions of times, quantities, monetary values, percentages, etc.

The web application of this project is built with Streamlit to provide an interactive web interface for performing NER on user-input text.