Bag-Of-Words Model - How do you make a bag-of-words model?

The first step in building a Bag-of-terms model in Python is to develop a vocabulary that includes all of the unique terms in your text data. After that, for every text document, a numerical feature vector is generated to reflect the vocabulary's word frequency. This may be accomplished by making use of the CountVectorizer class included in sklearn.