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Release 0.1-4: | ||
* Minor documentation fix for CRAN. | ||
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Release 0.1-3: | ||
* Fixed build for clang 13. | ||
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#' meanr: Sentiment Analysis Scorer | ||
#' | ||
#' Sentiment analysis is a popular technique in text mining that | ||
#' attempts to determine the emotional state of some text. We provide a new | ||
#' Sentiment analysis is a popular technique in text mining. Roughly | ||
#' speaking, the technique is an attempt to determine the overall emotional | ||
#' attitude of a piece of text (i.e., positive or negative). We provide a new | ||
#' implementation of a common method for computing sentiment, whereby words are | ||
#' scored as positive or negative according to a dictionary lookup. Then the | ||
#' sum of those scores is returned for the document. We use the Hu and Liu | ||
#' sentiment dictionary (Hu and Liu, 2004) <doi:10.1145/1014052.1014073> | ||
#' for determining sentiment. The scoring function is vectorized by document, | ||
#' and scores for multiple documents are computed in parallel via OpenMP. | ||
#' scored as positive or negative according to a "dictionary", and then an | ||
#' sum of those scores for the document is produced. We use the 'Hu' and 'Liu' | ||
#' sentiment dictionary for determining sentiment. The scoring function is | ||
#' 'vectorized' by document, and scores for multiple documents are computed in | ||
#' parallel via 'OpenMP'. | ||
#' | ||
#' @name meanr-package | ||
#' @docType package | ||
#' @author Drew Schmidt \email{wrathematics AT gmail.com} | ||
#' @author Drew Schmidt | ||
#' @keywords Package | ||
NULL |
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