Machine Learning, NLP, Data Science, Technology, Productivity.
sklearn provides the CountVectorizer() method to create these word embeddings. After importing the package, we just need to apply fit_transform() on the complete list of sentences and we get the array of vectors of each sentence. The output in the above gist shows the vector representations of each