Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
each topic. For example, wand has the highest probability in the Magic topic. These topics can be interpreted by humans to get a better understanding of the data set as a whole, or they can be used to classify documents with their most probable topics, which we see on the far right of Figure 1. In