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author | Lars-Dominik Braun <ldb@leibniz-psychology.org> | 2021-03-15 09:28:28 +0100 |
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committer | Lars-Dominik Braun <ldb@leibniz-psychology.org> | 2021-03-15 10:52:59 +0100 |
commit | bc82567b0bd69e630ae82e77943d5726f0af9e36 (patch) | |
tree | d51d6f648d009401b28a4ba8925b083e7bf8a812 | |
parent | d332c5c7f2dcf9e3562a411cff2fa43808a326a3 (diff) | |
download | guix-bc82567b0bd69e630ae82e77943d5726f0af9e36.tar.gz |
gnu: Add r-syuzhet.
* gnu/packages/cran.scm (r-syuzhet): New variable.
-rw-r--r-- | gnu/packages/cran.scm | 38 |
1 files changed, 38 insertions, 0 deletions
diff --git a/gnu/packages/cran.scm b/gnu/packages/cran.scm index dd37ae0d6c..6f8230278e 100644 --- a/gnu/packages/cran.scm +++ b/gnu/packages/cran.scm @@ -27426,3 +27426,41 @@ in same length matches).") (description "Tools that can be used to reshape and restructure text data.") (license license:gpl2))) + +(define-public r-syuzhet + (package + (name "r-syuzhet") + (version "1.0.6") + (source + (origin + (method url-fetch) + (uri (cran-uri "syuzhet" version)) + (sha256 + (base32 + "16iccqdbw02iw82nah6kwz3gwfghi864j2y698n4b9dyc386ijzv")))) + (properties `((upstream-name . "syuzhet"))) + (build-system r-build-system) + (propagated-inputs + `(("r-dplyr" ,r-dplyr) + ("r-dtt" ,r-dtt) + ("r-nlp" ,r-nlp) + ("r-rlang" ,r-rlang) + ("r-textshape" ,r-textshape) + ("r-tidyr" ,r-tidyr) + ("r-zoo" ,r-zoo))) + (native-inputs `(("r-knitr" ,r-knitr))) + (home-page "https://github.com/mjockers/syuzhet") + (synopsis + "Extracts Sentiment and Sentiment-Derived Plot Arcs from Text") + (description + "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 @dfn{syuzhet} (default) developed in the +Nebraska Literary Lab, @dfn{afinn} developed by Finn Arup Nielsen, @dfn{bing} +developed by Minqing Hu and Bing Liu, and @dfn{nrc} developed by Mohammad, Saif +M. and Turney, Peter D. Applicable references are available in +@file{README.md} and in the documentation for the @code{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.") + (license license:gpl3))) |