Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
be a topic word instead of a noise word. You can think of β₁ as placing an extra weight on the Topic Frequency side of the scales in Figure 5. Over a large number of iterations, each word will have a probability of being a topic word and a probability of being a noise word. We can then take a look