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@ -27426,3 +27426,41 @@ in same length matches).")
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(description
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"Tools that can be used to reshape and restructure text data.")
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(license license:gpl2)))
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(define-public r-syuzhet
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(package
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(name "r-syuzhet")
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(version "1.0.6")
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(source
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(origin
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(method url-fetch)
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(uri (cran-uri "syuzhet" version))
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(sha256
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(base32
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"16iccqdbw02iw82nah6kwz3gwfghi864j2y698n4b9dyc386ijzv"))))
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(properties `((upstream-name . "syuzhet")))
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(build-system r-build-system)
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(propagated-inputs
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`(("r-dplyr" ,r-dplyr)
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("r-dtt" ,r-dtt)
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("r-nlp" ,r-nlp)
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("r-rlang" ,r-rlang)
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("r-textshape" ,r-textshape)
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("r-tidyr" ,r-tidyr)
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("r-zoo" ,r-zoo)))
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(native-inputs `(("r-knitr" ,r-knitr)))
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(home-page "https://github.com/mjockers/syuzhet")
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(synopsis
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"Extracts Sentiment and Sentiment-Derived Plot Arcs from Text")
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(description
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"Extracts sentiment and sentiment-derived plot arcs from text using a
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variety of sentiment dictionaries conveniently packaged for consumption by R
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users. Implemented dictionaries include @dfn{syuzhet} (default) developed in the
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Nebraska Literary Lab, @dfn{afinn} developed by Finn Arup Nielsen, @dfn{bing}
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developed by Minqing Hu and Bing Liu, and @dfn{nrc} developed by Mohammad, Saif
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M. and Turney, Peter D. Applicable references are available in
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@file{README.md} and in the documentation for the @code{get_sentiment}
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function. The package also provides a hack for implementing Stanford's coreNLP
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sentiment parser. The package provides several methods for plot arc
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normalization.")
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(license license:gpl3)))
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