chron, dplyr, gdata, grid, gridExtra, igraph, RCurl, openNLP
(>= 0.2-1), NLP, parallel, plotrix, reports, reshape2, scales,
tm (>= 0.6), tools, venneuler, wordcloud, xlsx, XML

R (>= 3.0.0), ggplot2 (>= 0.9.3.1), qdapDictionaries (>=
1.0.2), qdapTools (>= 1.0.1), RColorBrewer
chron, dplyr, gdata, grid, gridExtra, igraph, NLP, openNLP (>=
0.2-1), parallel, plotrix, RCurl, reports, reshape2, scales,
stringdist, tm (>= 0.6), tools, venneuler, wordcloud, xlsx, XML
koRpus, knitr, lda, proxy, stringi, SnowballC, testthat

Bridging the Gap Between Qualitative Data and Quantitative
Analysis
R (>= 3.1.0), ggplot2 (>= 0.9.3.1), qdapDictionaries (>=
1.0.2), qdapRegex (>= 0.1.2), qdapTools (>= 1.0.3),
RColorBrewer
chron, dplyr (>= 0.3), gdata, gender (>= 0.4.1), grid,
gridExtra, igraph, NLP, openNLP (>= 0.2-1), parallel, plotrix,
RCurl, reports, reshape2, scales, stringdist, tm (>= 0.6),
tools, venneuler, wordcloud, xlsx, XML
qdap 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.

R (>= 3.1.0), qdapDictionaries (>= 1.0.2), qdapRegex (>=
0.1.2), qdapTools (>= 1.0.3), RColorBrewer
chron, dplyr (>= 0.3), gdata, gender (>= 0.4.1), ggplot2 (>=
0.9.3.1), grid, gridExtra, igraph, NLP, openNLP (>= 0.2-1),
parallel, plotrix, RCurl, reports, reshape2, scales,
stringdist, tidyr, tm (>= 0.6), tools, venneuler, wordcloud,
xlsx, XML
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.