One of the most basic techniques in Natural Language Processing (NLP) is the creation of feature vectors based on word counts.

scikit-learn provides efficient classes for this:

from sklearn.feature_extraction.text import CountVectorizer, TfidfVectorizer

If we want to build feature vectors over a vocabulary of stemmed or lemmatized words, how can …

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