Topic Modeling, Unsupervised Learning, Machine Learning, Data Science, Classification.
As a vectorizer we will be using scikit-learn’s built in CountVectorizer and set some sensible looking default frequency cutoffs and will filter English stop words. We will be using Non-negative Matrix Factorization as our topic model as it is very fast (both training and inference) and it usually