Managing, Querying and Analyzing Tokenized Text
Provides text analysis in R, focusing on the use of a tokenized text format. In this format, the positions of tokens are maintained, and each token can be annotated (e.g., part-of-speech tags, dependency relations).
Prominent features include advanced Lucene-like querying for specific tokens or contexts (e.g., documents, sentences),
similarity statistics for words and documents, exporting to DTM for compatibility with many text analysis packages,
and the possibility to reconstruct original text from tokens to facilitate interpretation.
memoise, methods, plyr, wordcloud (>= 2.5), SnowballC,
stringi, Rcpp (>= 0.12.12), R6
testthat, quanteda (>= 0.99.9), tm (>= 0.6), topicmodels,
RNewsflow, igraph

memoise, methods, plyr, wordcloud (>= 2.5), SnowballC,
stringi, Rcpp (>= 0.12.12), R6, udpipe
testthat, quanteda (>= 1.1.1), tm (>= 0.6), topicmodels,
igraph

methods, wordcloud (>= 2.5), SnowballC, stringi, Rcpp (>=
0.12.12), R6, udpipe, digest, data.table (>= 1.10.4),
tokenbrowser, RNewsflow (>= 1.2.1), Matrix (>= 1.2)
testthat, quanteda (>= 1.1.1), tm (>= 0.6), topicmodels,
igraph, knitr, rmarkdown

methods, wordcloud (>= 2.5), stringi, Rcpp (>= 0.12.12), R6,
udpipe (>= 0.8.3), digest, data.table (>= 1.10.4), quanteda (>=
1.5.1), igraph, tokenbrowser (>= 0.1.5), RNewsflow (>= 1.2.1),
Matrix (>= 1.2), parallel, pbapply (>= 1.4), rsyntax (>= 0.1.1)
testthat, tm (>= 0.6), topicmodels, knitr, rmarkdown

methods, wordcloud (>= 2.5), SnowballC, stringi, Rcpp (>=
0.12.12), R6, udpipe (>= 0.8.3), digest, data.table (>=
1.10.4), quanteda (>= 1.5.1), igraph, tokenbrowser, RNewsflow
(>= 1.2.1), Matrix (>= 1.2)

methods, wordcloud (>= 2.5), SnowballC, stringi, Rcpp (>=
0.12.12), R6, udpipe (>= 0.8.3), digest, data.table (>=
1.10.4), quanteda (>= 1.5.1), igraph, tokenbrowser (>= 0.1.5),
RNewsflow (>= 1.2.1), Matrix (>= 1.2), parallel, pbapply (>=
1.4), rsyntax (>= 0.1.1)
testthat, tm (>= 0.6), topicmodels, knitr, rmarkdown, gender

Implementation of 2D Correlation Analysis
c(
person("Robert", "Geitner", email = "robert.geitner@uni-jena.de", role = c("cre","aut")),
person("Robby", "Fritzsch", role = "aut"),
person("Thomas", "Bocklitz", role = "aut"),
person("Juergen", "Popp", role = c("ctb","cph")))
Implementation of two-dimensional (2D) correlation analysis based
on the Fourier-transformation approach described by Isao Noda (I. Noda
(1993) <DOI:10.1366/0003702934067694>). Additionally there are two plot
functions for the resulting correlation matrix: The first one creates
colored 2D plots, while the second one generates 3D plots.
Robert Geitner [cre, aut],
Robby Fritzsch [aut],
Thomas Bocklitz [aut],
Juergen Popp [ctb, cph]