kamalkraj/BERT-NER-TF
Named Entity Recognition with BERT using TensorFlow 2.0
This project helps you automatically identify and classify key entities like people, locations, and organizations within text documents. You provide raw text as input, and it outputs the text with recognized entities tagged and categorized. It's useful for developers or data scientists who need to build applications that extract structured information from unstructured text data.
213 stars. No commits in the last 6 months.
Use this if you are a developer or data scientist looking to integrate a BERT-based Named Entity Recognition (NER) model into your applications, especially if you're working with TensorFlow 2.0.
Not ideal if you are an end-user without programming experience, as this project requires coding knowledge to set up and use.
Stars
213
Forks
68
Language
Python
License
Apache-2.0
Category
Last pushed
Nov 21, 2022
Commits (30d)
0
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