Authors@R: c(person("Bryan", "Goodrich", role = "ctb"), person("Dason", "Kurkiewicz", role = "ctb"),
person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut", "cre")))
2.1.0), grid, gridExtra, igraph, methods, NLP, openNLP (>=
Description: Automates many of the tasks associated with quantitative discourse analysis of transcripts
containing discourse including frequency counts of sentence types, words, sentences, turns of
talk, syllables and other assorted analysis tasks. The package provides parsing tools for
preparing transcript data. Many functions enable the user to aggregate data by any number of
grouping variables, providing analysis and seamless integration with other R packages that
undertake higher level analysis and visualization of text.  This affords the user a more
efficient and targeted analysis.  'qdap' is designed for transcript analysis, however, many
functions are applicable to other areas of Text Mining/Natural Language Processing.

Description: Automates many of the tasks associated with quantitative discourse
analysis of transcripts containing discourse including frequency counts of
sentence types, words, sentences, turns of talk, syllables and other assorted
analysis tasks. The package provides parsing tools for preparing transcript
data. Many functions enable the user to aggregate data by any number of grouping
variables, providing analysis and seamless integration with other R packages
that undertake higher level analysis and visualization of text. This affords the
user a more efficient and targeted analysis. 'qdap' is designed for transcript
analysis, however, many functions are applicable to other areas of Text Mining/

Authors@R: c(person("Bryan", "Goodrich", role = "ctb"), person("Dason", "Kurkiewicz", role =
"ctb"), person("Tyler", "Rinker", email = "tyler.rinker@gmail.com", role = c("aut",
stringdist, tidyr, tm (>= 0.7.2), tools, venneuler, wordcloud,
Description: Automates many of the tasks associated with quantitative discourse analysis of
transcripts containing discourse including frequency counts of sentence types,
words, sentences, turns of talk, syllables and other assorted analysis tasks. The
package provides parsing tools for preparing transcript data. Many functions enable
the user to aggregate data by any number of grouping variables, providing analysis
and seamless integration with other R packages that undertake higher level analysis
and visualization of text. This affords the user a more efficient and targeted
analysis. 'qdap' is designed for transcript analysis, however, many functions are
applicable to other areas of Text Mining/ Natural Language Processing.