dataqa/nlp-labelling
Labelling platform for text using weak supervision.
This tool helps subject matter experts like researchers, analysts, or operations managers quickly prepare large amounts of unstructured text documents for analysis. You input a CSV file containing your text, and it helps you find, classify, and extract specific information using rules you define. The output is your documents enriched with labels and extracted entities, ready for further insights.
261 stars. No commits in the last 6 months.
Use this if you need to classify documents, extract entities, or link mentions to an existing knowledge base, and want to leverage your domain expertise with rules to label data much faster than manual annotation.
Not ideal if your data is not text-based, or if you need to perform very fine-grained, nuanced human annotation without any rule-based guidance.
Stars
261
Forks
18
Language
JavaScript
License
GPL-3.0
Category
Last pushed
Jun 24, 2022
Commits (30d)
0
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