Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
word in TND’s noise distribution to the frequency of the word in LDA’s topic distribution, using the same scales approach shown in Figure 5. A scaling parameter φ allows the noise and topic distributions to be compared even if they are not generated using the same number of topics, k, by scaling