Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
words.', ] # learn the vocabulary and store CountVectorizer sparse matrix in term_frequencies term_frequencies = vectorizer.fit_transform(corpus) vocab = vectorizer.get_feature_names() # convert sparse matrix to numpy array term_frequencies = term_frequencies.toarray() # visualize term frequencies