kamalkraj/BERT-NER

Pytorch-Named-Entity-Recognition-with-BERT

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Established

This tool helps extract key entities like people, organizations, and locations from text. You provide raw text documents, and it identifies and labels these specific entities within the content. This is useful for anyone who needs to quickly find and categorize important information from large volumes of unstructured text, such as researchers, analysts, or content managers.

1,249 stars. No commits in the last 6 months.

Use this if you need to automatically identify and categorize named entities (people, places, organizations, miscellaneous) in English text.

Not ideal if you need to extract information beyond common named entities, such as dates, monetary values, or custom entity types not predefined.

information-extraction text-analysis data-tagging content-categorization document-processing

Stale 6m No Package No Dependents

Maintenance 0 / 25

Adoption 10 / 25

Maturity 16 / 25

Community 25 / 25

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Stars

1,249

Forks

272

Language

Python

License

AGPL-3.0

Compare

BERT-NER and ner-bert BERT-NER and BERT-NER-TF BERT-NER and Bert-BiLSTM-CRF-pytorch BERT-NER and bern

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