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: |
0.3.0 |
| 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: |
2021-10-13 |
| Author: |
Evan Munson  [aut,
cre],
Christopher Smith
[aut],
Bradley Boehmke
[aut],
Jason Freels
[aut] |
| Maintainer: |
Evan Munson <evan.l.munson at gmail.com> |
| BugReports: |
https://github.com/evan-l-munson/saotd/issues |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: |
https://github.com/evan-l-munson/saotd |
| 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 |