Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
While it’s easy to preprocess away stopwords (common words like the “ifs, ands, and buts”) and other common types of noise, we have to rely on the underlying model to remove less obvious types of noise, like words that don’t belong in the domain (spam words), or words that are too common in the