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 x bing Lexicon, and output visualizations.

Version: 0.2.0
Depends: R (≥ 3.3.0)
Imports: plyr, dplyr, widyr, stringr, tidytext, twitteR, purrr, tidyr, igraph, maps, ggplot2, ggraph, scales, reshape2, lubridate, utils, stats, magrittr, ldatuning, topicmodels
Suggests: testthat, knitr, rmarkdown, httr, base64enc
Published: 2019-04-04
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)
Citation: saotd citation info
Materials: README
CRAN checks: saotd results


Reference manual: saotd.pdf
Vignettes: saotd
Package source: saotd_0.2.0.tar.gz
Windows binaries: r-prerelease:, r-release:, r-oldrel:
macOS binaries: r-prerelease: saotd_0.2.0.tgz, r-release: saotd_0.2.0.tgz, r-oldrel: saotd_0.2.0.tgz


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