syuzhet: Extracts Sentiment and Sentiment-Derived Plot Arcs from Text
Extracts sentiment and sentiment-derived plot arcs
from text using a variety of sentiment dictionaries conveniently
packaged for consumption by R users. Implemented dictionaries include
"syuzhet" (default) developed in the Nebraska Literary Lab
"afinn" developed by Finn {\AA}rup Nielsen, "bing" developed by Minqing Hu
and Bing Liu, and "nrc" developed by Mohammad, Saif M. and Turney, Peter D.
Applicable references are available in README.md and in the documentation
for the "get_sentiment" function. The package also provides a hack for
implementing Stanford's coreNLP sentiment parser. The package provides
several methods for plot arc normalization.
| Version: |
1.0.4 |
| Depends: |
R (≥ 2.10) |
| Imports: |
textshape (≥ 1.3.0), NLP, zoo, dtt, stats, graphics, dplyr, tidyr |
| Suggests: |
devtools, readxl, stringr, knitr, pander, testthat (≥
0.9.1), parallel |
| Published: |
2017-12-14 |
| Author: |
Matthew Jockers [aut, cre] |
| Maintainer: |
Matthew Jockers <mjockers at gmail.com> |
| License: |
GPL-3 |
| URL: |
https://github.com/mjockers/syuzhet |
| NeedsCompilation: |
no |
| Citation: |
syuzhet citation info |
| Materials: |
README |
| CRAN checks: |
syuzhet results |
Downloads:
Reverse dependencies:
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