texttechnologylab/DockerUnifiedUIMAInterface

A UIMA-based tool for the scaled, uniform, distributed, platform-independent and easily reusable use of Natural Language Processing (NLP) methods using Docker.

49
/ 100
Emerging

Automatically analyze large collections of text or multimodal content for insights. You provide raw documents (like plain text, images, or videos) and get back structured annotations (e.g., identified named entities, parts of speech, or specific objects in images). This tool is for researchers and data analysts working with big data who need to process large document sets efficiently and consistently.

Use this if you need a flexible, scalable, and reproducible way to apply various natural language processing or multimodal analysis methods to very large datasets.

Not ideal if you only need to process small amounts of data or prefer a simple, single-machine desktop application without distributed processing capabilities.

text-analytics digital-humanities multimodal-data-processing big-data-analysis computational-linguistics
No Package No Dependents
Maintenance 10 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 18 / 25

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Stars

14

Forks

16

Language

Jupyter Notebook

License

AGPL-3.0

Category

nlp-rest-apis

Last pushed

Jan 30, 2026

Commits (30d)

0

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