jenojp/negspacy
spaCy pipeline object for negating concepts in text
This tool helps analyze text to accurately identify when a concept or entity is being negated. It takes written content, like patient discharge summaries or general English text, and outputs the recognized entities along with a clear indicator of whether each entity is negated. This is useful for anyone who needs to extract specific information from text and ensure they understand the true meaning, especially in fields like medical informatics or clinical research.
283 stars. Used by 1 other package. No commits in the last 6 months. Available on PyPI.
Use this if you need to reliably determine if a specific finding, disease, or named entity mentioned in a document is being affirmed or denied.
Not ideal if your primary need is to extract numerical values or dates associated with entities, rather than just their negation status.
Stars
283
Forks
36
Language
Python
License
MIT
Category
Last pushed
Jun 16, 2025
Commits (30d)
0
Reverse dependents
1
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