# Data and dictionaries for text normalization
#' German stopwords
#'
#' @format A data frame with 358473 rows and 2 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{lemma}{its mapped lemma.}
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"stop_words_de"
#' English stopwords
#'
#' @format A data frame with 358473 rows and 2 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{lemma}{its mapped lemma.}
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"stop_words_en"
#' German Lemma Dictionary
#'
#' @format A data frame with 358473 rows and 2 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{lemma}{its mapped lemma.}
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"hash_lemma_de"
#' English Lemma Dictionary
#'
#' @format A data frame with 41759 rows and 2 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{lemma}{its mapped lemma.}
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"hash_lemma_en"
#' French Lemma Dictionary
#'
#' @format A data frame with 224001 rows and 2 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{lemma}{its mapped lemma.}
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"hash_lemma_fr"
#' Wordnet Sentiment Dictionary
#'
#' @format A data frame with 24,428 rows and 3 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{wordnet_score}{ sentiment number }
#' \item{wordnet_class}{ sentiment class }
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"sent_wordnet"
#' Vader Sentiment Dictionary
#'
#' @format A data frame with 7,516 rows and 6 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{vader_score}{ sentiment number }
#' \item{vader_intens}{ sentiment number }
#' \item{vader_seq}{ sentiment number }
#' \item{vader_med}{ sentiment number }
#' \item{vader_class}{ sentiment class }
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"sent_vader"
#' AFINN Sentiment Dictionary
#'
#' @format A data frame with 2,476 rows and 2 variables:
#' \describe{
#' \item{word}{a key word}
#' \item{afinn_score}{ sentiment number }
#' ...
#' }
#' @source \url{http://www.lexiconista.com/datasets/lemmatization/}
"sent_afinn"
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