For Natural Language Processing (NLP) to work, it always requires to transform natural language (text and audio) into numerical form. Text vectorization techniques namely Bag of Words and tf-idf vectorization, which are very popular choices for traditional machine learning algorithms can help in converting text to numeric feature vectors.