dsindex/ntagger
reference pytorch code for named entity tagging
This project helps you automatically extract key entities like people, locations, organizations, and dates from text. You provide raw text documents, and it outputs the same text with specific words or phrases tagged with their entity types. It's designed for data scientists and NLP practitioners who need to automatically structure information from large volumes of unstructured text.
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Use this if you need to identify and classify named entities within English or Korean text, such as in news articles, customer reviews, or research papers.
Not ideal if you're looking for a low-code or no-code solution, as this requires technical expertise to set up and run.
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Python
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Last pushed
Oct 18, 2024
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