raynardj/langhuan
Light weight labeling engine
This tool helps teams quickly organize and label large amounts of text data for tasks like identifying key entities (names, places, companies) or categorizing customer feedback as positive or negative. You feed it your raw text data, and it provides a web interface where human annotators can tag and categorize each item. It's designed for data science teams, researchers, or anyone needing to prepare structured datasets from unstructured text.
No commits in the last 6 months. Available on PyPI.
Use this if you need a lightweight, dedicated system for multiple people to collaboratively label text data, especially for training AI models.
Not ideal if you require robust security features, complex user management, or are only labeling a very small dataset by yourself.
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Language
Jupyter Notebook
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Last pushed
Sep 14, 2021
Commits (30d)
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