samueldobbie/markup

A web-based document annotation tool, powered by GPT-4 :rocket:

42
/ 100
Emerging

Transforms unstructured text documents into structured data for analysis. You input raw documents like research papers, clinical notes, or legal texts, and it helps you highlight and label key information, like names, dates, or concepts. It then outputs a structured, annotated version of your document, which is useful for data scientists, researchers, or anyone preparing text for machine learning models.

266 stars. No commits in the last 6 months.

Use this if you need to systematically identify and label specific entities or concepts within large volumes of text documents to prepare them for computational analysis.

Not ideal if you only need to read documents or perform simple text searches without extracting structured information.

document-annotation data-labeling text-analysis ontology-mapping named-entity-recognition
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 16 / 25

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Stars

266

Forks

32

Language

TypeScript

License

MIT

Last pushed

Jan 10, 2024

Commits (30d)

0

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