OHNLP/MedTator

A Serverless Text Annotation Tool for Corpus Development

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Emerging

MedTator is a web-based tool that helps researchers and domain experts manually highlight and label specific pieces of information within text documents. You input raw text, define what you're looking for (e.g., diseases, symptoms, company names), and then mark those items directly in the text. This process outputs structured, annotated text ready for analysis or use in training machine learning models.

No commits in the last 6 months.

Use this if you need to systematically label textual data for research, machine learning, or content analysis without needing to install complex server software.

Not ideal if you primarily need automated text processing or if your annotation tasks require real-time collaboration with version control on a shared server.

clinical-text-annotation natural-language-processing-data corpus-development qualitative-data-analysis information-extraction
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 19 / 25

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Stars

60

Forks

20

Language

JavaScript

License

Apache-2.0

Last pushed

Feb 19, 2025

Commits (30d)

0

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