Topic Modeling, Unsupervised Learning, Machine Learning, Data Science, Classification.
CountVectorizer(max_df=0.5, min_df=10, stop_words="english") # NMF topic model with 20 topics nmf = NMF(n_components=30) topic_pipeline = make_topic_pipeline(vectorizer, nmf) topic_pipeline.fit(X_train) Model Interpretation topicwizard comes with a lot of built-in visualizations to interpret topic