Package: r-cran-syuzhet Version: 1.0.4-1 Architecture: all Maintainer: Debian R Packages Maintainers Installed-Size: 5083 Depends: r-base-core (>= 3.5.2-1), r-api-3.5, r-cran-nlp, r-cran-zoo, r-cran-dplyr, r-cran-tidyr Recommends: r-cran-testthat (>= 0.9.1) Suggests: r-cran-devtools, r-cran-readxl, r-cran-stringr, r-cran-knitr Filename: buster/r-cran-syuzhet/r-cran-syuzhet_1.0.4-1_all.deb Size: 2648040 MD5sum: 2b562b5c35e90411f5fdcb88400948f9 SHA1: 6e373bbc266f3940a4c1296b3ca0af7b99a2ee30 SHA256: 93545e31bac8bb6b6ca2407c042826de1c3cc435e24fa9d42b64d9ded09f3012 Section: gnu-r Priority: optional Homepage: https://cran.r-project.org/package=syuzhet Description: 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.