Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
Bayesian priors is equivalent regularization is equivalent to padding with fake data. topic_word_prior × n_components × n_features is how many fake words are added to the model before any training. n_features is the number of tokens in the model / corpus. If the product is 1,000 and you’re