Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
approximates the likelihood of a word being a noise word, and a topic-word distribution that approximates the probability of each word being in each topic. Figure 4 shows how we think about the construction of TND. Figure 4. A topic-noise model generates a noise distribution alongside the topic