Get parent verb polarity with spaCy

parent_verb_polarity.py

import typing as t
import spacy

# load pre-trained model pipeline
nlp = spacy.load('en_core_web_sm')

# sentence for grammar rules
text = """He does not eat meat, but he loves Beyond Burgers."""

# apply pipeline
doc = nlp(text)

def get_parent_verb(
    token: spacy.tokens.Token
) -> t.Optional[t.Tuple[spacy.tokens.Token, int]]:
    """Get the parent verb of token, along with its polarity 
    (1 for positive, -1 for negative)"""
    
    # loop through ancestors
    polarity = 1
    for a in token.ancestors:
        if a.pos_ in {'VERB', 'ROOT'}:
            # found the first parent verb
            verb = a
            # check if it's negated
            for l in a.lefts:
                if l.dep_ == 'neg':
                    polarity = -1
            # return first parent verb found
            return (verb, polarity)
    return None


# hard code "Beyond" token
token = doc[9]

# get parent verb and polarity
get_parent_verb(token)