dnaaun/openFraming
Tools for automatic frame discovery and labeling based on topic modeling and deep learning, made widely accessible to researchers from non computational backgrounds.
This tool helps researchers analyze and classify "frames" in text documents, which are underlying narratives or perspectives. You provide your text data, and it helps you discover these frames, categorize them, and even build models using your own labeled examples. It's designed for researchers, particularly those in fields like social sciences or humanities, who work with large volumes of text and want to understand the messaging within them.
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Use this if you need to systematically identify and categorize the different ways a topic is presented in a collection of texts without needing advanced machine learning expertise.
Not ideal if your primary goal is simple keyword extraction or sentiment analysis, as this tool is specifically focused on deeper frame analysis.
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Language
CSS
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Last pushed
Dec 26, 2022
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/dnaaun/openFraming"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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