#' Consistent Clustering for Text Data
#'
#' Optimized, consistent tools for clustering text data.
#' @docType package
#' @name clustext
#' @aliases clustext package-clustext
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#' 2012 U.S. Presidential Debates
#'
#' A dataset containing a cleaned version of all three presidential debates for
#' the 2012 election.
#'
#' @details
#' \itemize{
#' \item person. The speaker
#' \item tot. Turn of talk
#' \item dialogue. The words spoken
#' \item time. Variable indicating which of the three debates the dialogue is from
#' }
#'
#' @docType data
#' @keywords datasets
#' @name presidential_debates_2012
#' @usage data(presidential_debates_2012)
#' @format A data frame with 2912 rows and 4 variables
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#' Topic Assignments
#'
#' A dataset containing a list of topic assignments by various clustering
#' algorithms. Assignments correspond to the rows (minus empty rows) of the
#' \code{presidential_debates_2012} data set.
#'
#' @docType data
#' @keywords datasets
#' @name assignments
#' @usage data(assignments)
#' @format A list with 3 elements
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