Twitmo: Twitter Topic Modeling and Visualization for R

Tailored for topic modeling with tweets and fit for visualization tasks in R. Collect, pre-process and analyze the contents of tweets using LDA and structural topic models (STM). Comes with visualizing capabilities like tweet and hashtag maps and built-in support for 'LDAvis'.

Version: 0.1.2
Depends: R (≥ 3.5.0)
Imports: jsonlite, stats, plyr, stopwords, stringr, dplyr, readr, magrittr, rtweet, quanteda, quanteda.textstats, topicmodels, stm, tidyr, rlang, maps, LDAvis, leaflet, ldatuning, stringi, tm
Suggests: rmarkdown, knitr, tidytext, modeltools, servr
Published: 2021-12-06
Author: Andreas Buchmueller [aut, cre] (, Gillian Kant ORCID iD [aut, ths], Christoph Weisser ORCID iD [aut, ths], Benjamin Saefken ORCID iD [aut, ths], Thomas Kneib ORCID iD [rev, ths, dgs], Krisztina Kis-Katos ORCID iD [rev]
Maintainer: Andreas Buchmueller <a.buchmueller at>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README NEWS
CRAN checks: Twitmo results


Reference manual: Twitmo.pdf


Package source: Twitmo_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): Twitmo_0.1.2.tgz, r-release (x86_64): Twitmo_0.1.2.tgz, r-oldrel: Twitmo_0.1.2.tgz
Old sources: Twitmo archive


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