Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
they come together to produce topics and a noise distribution? Let’s take a look at the high-level algorithm: Given a data set D of documents and hyperparameters k, α, β₀, and β₁: For each document d in D: 1. Probabilistically choose a topic zᵢ from the topic distribution of d 2. For each word w in