Dataaspirant-Spacy-Remove-Stop-Words.py

import spacy

nlp = spacy.load("en_core_web_sm")

# Example sentence
text = "The quick brown fox jumps over the lazy dog."

# Tokenize the text
doc = nlp(text)

# Remove stop words from the text
tokens = [token.text for token in doc if not token.is_stop]

# Print the filtered tokens
print(tokens)


"""
Output

['quick', 'brown', 'fox', 'jumps', 'lazy', 'dog', '.']
"""