saotd: Sentiment Analysis of Twitter Data

This analytic is an in initial foray into sentiment analysis. This analytic will allow a user to access the Twitter API (once they create their own developer account), ingest tweets of their interest, clean / tidy data, perform topic modeling if interested, compute sentiment scores utilizing the Bing Lexicon, and output visualizations.

Version: 0.3.1
Depends: R (≥ 3.5.0)
Imports: dplyr, widyr, stringr, tidytext, rtweet, tidyr, igraph, ggplot2, ggraph, scales, reshape2, lubridate, utils, stats, magrittr, ldatuning, topicmodels
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, httr, base64enc, tibble, covr
Published: 2023-09-04
DOI: 10.32614/CRAN.package.saotd
Author: Evan Munson ORCID iD [aut, cre], Christopher Smith ORCID iD [aut], Bradley Boehmke ORCID iD [aut], Jason Freels ORCID iD [aut]
Maintainer: Evan Munson <evan.l.munson at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
SystemRequirements: GSL (>=2.4), MPFR (>= 4.0.0), udunits2 (>=2.2.26-3)
Language: en-US
Citation: saotd citation info
Materials: README NEWS
CRAN checks: saotd results


Reference manual: saotd.pdf
Vignettes: saotd


Package source: saotd_0.3.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): saotd_0.3.1.tgz, r-oldrel (arm64): saotd_0.3.1.tgz, r-release (x86_64): saotd_0.3.1.tgz, r-oldrel (x86_64): saotd_0.3.1.tgz
Old sources: saotd archive


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