Topic Modeling, Data Science, Machine Learning, NLP, Tips And Tricks.
document before model training even begins. Source: rawpixel Suppose you need a basketball topic and a golf topic. You can populate the prior of one topic with high probabilities of basketball-related words. Do the same for golf, and then fill the other topic priors with a uniform distribution.