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Twitmo: A Twitter Data Topic Modeling and Visualization Package for R. (arXiv:2207.11236v1 [cs.IR])
July 25, 2022, 1:11 a.m. | Andreas Buchmüller, Gillian Kant, Christoph Weisser, Benjamin Säfken, Krisztina Kis-Katos, Thomas Kneib
stat.ML updates on arXiv.org arxiv.org
We present Twitmo, a package that provides a broad range of methods to
collect, pre-process, analyze and visualize geo-tagged Twitter data. Twitmo
enables the user to collect geo-tagged Tweets from Twitter and and provides a
comprehensive and user-friendly toolbox to generate topic distributions from
Latent Dirichlet Allocations (LDA), correlated topic models (CTM) and
structural topic models (STM). Functions are included for pre-processing of
text, model building and prediction. In addition, one of the innovations of the
package is the automatic …
arxiv data modeling package topic modeling twitter visualization
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