Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
domain (flood words). Traditional topic models, like Latent Dirichlet Allocation (LDA) [Blei et al., 2003], have a tough time cutting through the noise inherent in social media data. As a result, the generated topics are often incoherent — in other words, difficult for humans to interpret.