NLP: Tf-Idf vs Doc2Vec - Contrast and Compare

Two important text vectorization algorithms in natural language processing (NLP) are term frequency * inverse document frequency (tf-idf) and Word2Vec / Doc2Vec. Tf-Idf works best for smaller and more focused corpora, whereas Doc2Vec is preferred when dealing with massive corpora that span many topics.