NLP, Topic Modeling, Data Science, Nlp Tutorial, Machine Learning.
hyper-parameterized, but I will not be covering that process in this article. from sklearn.decomposition import NMF n_topics = 10 random_state = 42 nmf = NMF(n_components=n_topics, random_state=random_state) nmf.fit(features) In order to visualize the set of words that compound each topic, we will