#' @title Estimates the sentiment of some text.
#'
#' @description
#' This function analyzes the text for words that correlate with
#' complimentary or derogatory reviews and comments, to give an overall
#' score for how positive or negative the text is about its subject.
#'
#' @param text A short piece of writing, from a sentence to a paragraph in
#' length for best results.
#' @param session The CURLHandle object giving the structure for the options
#' and that will process the command. For curlMultiPerform, this is an object
#' of class code MultiCURLHandle-class.
#'
#' @return
#' \item{score}{A number representing the estimated sentiment, from
#' -5 (very negative) to +5 (very positive).}
#'
#' @seealso
#' \code{\link{curlPerform}},
#' \code{\link{getCurlHandle}},
#' \code{\link{dynCurlReader}}
#'
#' @references
#' http://www.datasciencetoolkit.org/developerdocs#text2sentiment
#'
#' @examples
#' \dontrun{
#' text2sentiment("I love this hotel!")
#' }
#'
#' @export
text2sentiment <- function(text, session = RCurl::getCurlHandle()) {
api <- paste(getOption("RDSTK_api_base"), "/text2sentiment/", sep="")
r = RCurl::dynCurlReader()
RCurl::curlPerform(postfields = text, url = api, post = 1L,
writefunction = r$update,
curl = session)
return(rjson::fromJSON(r$value()))
}
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