lasigeBioTM/BENT
Biomedical Term Annotator
This tool helps biomedical researchers and practitioners automatically identify and categorize specific entities like diseases, chemicals, and genes within scientific texts. You provide it with documents or blocks of text, and it returns those texts with important biomedical terms highlighted and linked to established knowledge bases. This is ideal for anyone working with large volumes of biomedical literature, clinical notes, or research papers who needs to extract structured information.
No commits in the last 6 months. Available on PyPI.
Use this if you need to precisely identify and categorize biomedical entities within unstructured text data to enhance your research, clinical analysis, or information retrieval.
Not ideal if your primary goal is general natural language processing outside the biomedical domain, or if you only need simple keyword searching without sophisticated entity linking.
Stars
9
Forks
1
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 24, 2025
Commits (30d)
0
Dependencies
13
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/lasigeBioTM/BENT"
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