Topic Modeling, Topic Noise Modeling, Unsupervised Learning, Twitter Data, Text Data.
January 2020 and November 2020, respectively, using keywords related to their respective domains. They consist of 1 million and 1.2 million documents each, which is pretty big for topic model standards. We conducted the following preprocessing on the Covid-19 and Election data sets: tokenization,