Topic Modeling, Unsupervised Learning, Machine Learning, Data Science, Classification.
works reasonably well. I will settle on 30 topics which is a completely arbitrary number. from sklearn.decomposition import NMF from sklearn.feature_extraction.text import CountVectorizer from topicwizard.pipeline import make_topic_pipeline # Setting up topic modelling pipeline vectorizer =