#' SpeedReader: functions to facilitate high performance text processing in R.
#'
#' @section SpeedReader functions:
#' To use this package, You will first want to check out the generate_document_term_vectors() function which will take raw data and transform it into document term vectors. You will then likely want to generate a document term matri using either generate_document_term_matrix() or generate_sparse_large_document_term_matrix() depending on the number of documents you are dealing with. After that, this package provides a number of other functions for simple pointwise mututal information based analysis and links to the MALLET libraries for topic modeling with billions of tokens.
#'
#' @docType package
#' @name SpeedReader
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#> NULL
#' @import methods
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#' @import slam
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#' @import parallel
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#' @import snowfall
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#' @importFrom grDevices dev.off pdf rgb gray
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#' @importFrom graphics axis legend matplot mtext par plot points segments text
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#' @importFrom stats cor qnorm median var
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#' @importFrom utils download.file head read.delim read.table str write.table capture.output combn
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#' @importFrom quanteda dfm
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#' @importFrom data.table fread
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#' @useDynLib SpeedReader
#' @importFrom Rcpp sourceCpp
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#> NULL
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