GitHub - Safae26/bag-of-words: A complete Bag of Words pipeline built with Python, NLTK, and spaCy. It demonstrates text preprocessing (tokenization, lowercasing, stopword removal, lemmatization) and converts text into numerical vectors using word frequency counts. Perfect for understanding fundamental NLP vectorization techniques.

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A complete Bag of Words pipeline built with Python, NLTK, and spaCy. It demonstrates text preprocessing (tokenization, lowercasing, stopword removal, lemmatization) and converts text into numerical vectors using word frequency counts. Perfect for understanding fundamental NLP vectorization techniques.