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 STM models. Comes with visualizing capabilities like tweet and hashtag maps and built-in support for 'LDAvis'.

Version: 0.1.1
Depends: R (≥ 3.5.0)
Imports: jsonlite, stats, plyr, stopwords, stringr, dplyr, readr, magrittr, rtweet, quanteda, quanteda.textstats, topicmodels, stm, tidyr, rlang, maps
Suggests: rmarkdown, knitr, leaflet, tidytext, modeltools, LDAvis, tm, ldatuning, stringi, servr
Published: 2021-10-28
Author: Andreas Buchmueller
Maintainer: Andreas Buchmueller <a.buchmueller at stud.uni-goettingen.de>
BugReports: https://github.com/abuchmueller/Twitmo/issues
License: MIT + file LICENSE
URL: https://github.com/abuchmueller/Twitmo
NeedsCompilation: no
Materials: README
CRAN checks: Twitmo results

Documentation:

Reference manual: Twitmo.pdf

Downloads:

Package source: Twitmo_0.1.1.tar.gz
Windows binaries: r-devel: Twitmo_0.1.1.zip, r-release: not available, r-oldrel: Twitmo_0.1.1.zip
macOS binaries: r-release (arm64): Twitmo_0.1.1.tgz, r-release (x86_64): Twitmo_0.1.1.tgz, r-oldrel: Twitmo_0.1.1.tgz

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