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is tokenized into individual words using the `word_tokenize()` function from NLTK. Lowercasing: The tokens are converted to lowercase using a list comprehension. Stopword Removal: The stopwords (common words like “the”, “is”, “are”) are removed from the tokens using the `stopwords` corpus from