Nothing
#' A package for Chinese text segmentation
#'
#' This is a package for Chinese text segmentation, keyword extraction
#' and speech tagging with Rcpp and cppjieba.
#'
#' You can use custom
#' dictionary. JiebaR can
#' also identify new words, but adding new words will ensure higher
#' accuracy.
#'
#' @docType package
#' @name jiebaR
#' @author Qin Wenfeng <\url{http://qinwenfeng.com}>
#' @references CppJieba \url{https://github.com/aszxqw/cppjieba};
#' @seealso JiebaR \url{https://github.com/qinwf/jiebaR};
#' @examples
#' ### Note: Can not display Chinese characters here.
#' \dontrun{
#' words = "hello world"
#' engine1 = worker()
#' segment(words, engine1)
#'
#' # "./temp.txt" is a file path
#'
#' segment("./temp.txt", engine1)
#'
#' engine2 = worker("hmm")
#' segment("./temp.txt", engine2)
#'
#' engine2$write = T
#' segment("./temp.txt", engine2)
#'
#' engine3 = worker(type = "mix", dict = "dict_path",symbol = T)
#' segment("./temp.txt", engine3)
#' }
#'
#' \dontrun{
#' ### Keyword Extraction
#' engine = worker("keywords", topn = 1)
#' keywords(words, engine)
#'
#' ### Speech Tagging
#' tagger = worker("tag")
#' tagging(words, tagger)
#'
#' ### Simhash
#' simhasher = worker("simhash", topn = 1)
#' simhash(words, simhasher)
#' distance("hello world" , "hello world!" , simhasher)
#'
#' show_dictpath()
#' }
#'
NULL
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.