Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
sklearn.feature_extraction.text import CountVectorizer # create CountVectorizer object vectorizer = CountVectorizer() corpus = [ 'Text of the very first new sentence with the first words in sentence.', 'Text of the second sentence.', 'Number three with lot of words words words.', 'Short text, less