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SandyRogers/spacy_rule_based_matching.py

Created March 17, 2020 10:34
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spacy_rule_based_matching.py
category = "wellbeing"
seeds = ["stress", "engagement", "burnout"]
matcher = Matcher(nlp.vocab)
rule_patterns = [
[{"LEMMA": "-PRON-", "OP": "?"}]
+ [{"LEMMA": tok.lemma_} for tok in nlp(seed)]
for seed in seeds
]
matcher.add(category, rule_patterns)
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