OpenJarbas/simple_NER
simple rule based named entity recognition
This tool helps you quickly extract specific pieces of information, like phone numbers, email addresses, dates, or organization names, from text documents or messages. You provide the raw text, and it identifies and pulls out the requested data types, giving you a structured list of these entities. It's designed for anyone who needs to automatically find and categorize key information within large amounts of unstructured text, such as customer support teams, researchers, or data analysts.
No commits in the last 6 months. Available on PyPI.
Use this if you need to automatically identify and extract common types of specific information (like contact details, dates, or locations) from text in multiple languages.
Not ideal if you need to recognize highly specialized or domain-specific entities that are not already covered by the available annotators, or if you require deep semantic understanding beyond basic entity extraction.
Stars
41
Forks
9
Language
Python
License
MIT
Category
Last pushed
Feb 14, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/OpenJarbas/simple_NER"
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