spaCy pipeline object for negating concepts in text based on the NegEx algorithm.

negspacy is a spaCy pipeline component that evaluates whether Named Entities are negated in text. It adds an extension to 'Span' objects.


import spacy from negspacy.negation import Negex nlp = spacy.load("en_core_web_sm") negex = Negex(nlp, ent_types=["PERSON','ORG"]) nlp.add_pipe(negex, last=True) doc = nlp("She does not like Steve Jobs but likes Apple products.") for e in doc.ents: print(e.text, e._.negex)

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Author info

Jeno Pizarro


Categories pipeline scientific

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