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f307bb6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | import spacy
from spacy.lang.en.stop_words import STOP_WORDS
# Load spaCy's English language model
nlp = spacy.load('en_core_web_sm')
def extract_keywords(question):
# Process the question using spaCy NLP pipeline
doc = nlp(question)
# Extract keywords by removing stopwords, punctuation, and selecting nouns/adjectives
keywords = [token.text for token in doc if token.is_stop == False and token.is_punct == False and token.pos_ in ['NOUN', 'ADJ', 'VERB']]
return keywords
# Example chatbot question
question = "What is the weather like in New York City today?"
# Extract keywords
keywords = extract_keywords(question)
print("Keywords:", keywords)
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