iss-lab/nifi-stanfordcorenlp-processor

Nifi Stanford CoreNLP Processor

28
/ 100
Experimental

This tool helps data engineers and operations engineers automatically extract key details from unstructured text. It takes in text data, often within JSON files, and identifies entities like organizations, locations, people, or dates. The output is the original text enriched with the extracted entities, making it easier to route or analyze information in large data flows.

No commits in the last 6 months.

Use this if you need to automatically identify and categorize specific types of named entities within a continuous stream of text data using Apache NiFi.

Not ideal if you need a wider range of natural language processing features beyond named entity recognition, such as sentiment analysis or dependency parsing.

data-pipeline text-analysis information-extraction data-enrichment operations-engineering
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

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Stars

11

Forks

1

Language

Java

License

MIT

Last pushed

May 20, 2022

Commits (30d)

0

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