generall/EntityCategoryPrediction
Model for predicting categories of entities by its mentions
This project helps data scientists or researchers automatically assign categories to entities mentioned in text. You input raw text containing mentions of entities, and it outputs predictions for which categories those entities belong to. This is useful for anyone working with large text corpuses who needs to organize or analyze entities like people, organizations, or products by their type.
No commits in the last 6 months.
Use this if you need to classify large volumes of text mentions of entities into predefined categories.
Not ideal if you need to extract new, unknown entities or if your categories are not well-defined or structured.
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Language
Jupyter Notebook
License
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Category
Last pushed
Jun 23, 2021
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/generall/EntityCategoryPrediction"
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