eXist-db/exist-stanford-nlp

XQuery wrapper around the Stanford CoreNLP pipeline

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Emerging

This tool helps you quickly identify and categorize key entities like people, places, and organizations within your text documents. You input raw text in various languages, and it outputs the text with recognized entities highlighted and categorized. Anyone working with large collections of textual data, such as researchers, archivists, or content managers, would find this useful.

No commits in the last 6 months.

Use this if you need to automatically extract and visualize named entities from unstructured text stored within an eXist-db database.

Not ideal if you're not already using eXist-db for document storage or if you require advanced custom natural language processing models beyond standard entity recognition.

document-analysis text-mining information-extraction digital-humanities content-management
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 15 / 25

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Stars

12

Forks

5

Language

Java

License

LGPL-2.1

Last pushed

Sep 15, 2023

Commits (30d)

0

Get this data via API

curl "https://pt-edge.onrender.com/api/v1/quality/nlp/eXist-db/exist-stanford-nlp"

Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.