Data Science, Machine Learning, NLP, Transformers, Word Embeddings.
— number of documents, n(t) — number of documents with current word or term t. from sklearn.feature_extraction.text import TfidfVectorizer import seaborn as sns corpus = [ 'Time flies like an arrow.', 'Fruit flies like a banana.' ] vocab = ['an', 'arrow', 'banana', 'flies', 'fruit', 'like', 'time']