tosca

Tools for Statistical Content Analysis

A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided.

Total

1,478

Last month

288

Last week

61

Average per day

10

Daily downloads

Total downloads

Description file content

Package
tosca
Type
Package
Title
Tools for Statistical Content Analysis
Version
0.1-3
Date
2019-01-16
Description
A framework for statistical analysis in content analysis. In addition to a pipeline for preprocessing text corpora and linking to the latent Dirichlet allocation from the 'lda' package, plots are offered for the descriptive analysis of text corpora and topic models. In addition, an implementation of Chang's intruder words and intruder topics is provided.
URL
License
GPL (>= 2)
Encoding
UTF-8
Depends
R (>= 3.2.0)
Imports
tm (>= 0.7-3), lda (>= 1.3.2), quanteda (>= 1.1.1), lubridate (>= 1.3.3), htmltools (>= 0.3.6), RColorBrewer (>= 1.1-2), stringr (>= 1.3.1), WikipediR (>= 1.5.0), data.table (>= 1.11.4)
Suggests
testthat (>= 2.0.0), knitr (>= 1.20), devtools (>= 1.13), rmarkdown (>= 1.9)
RoxygenNote
6.1.1
LazyData
true
VignetteBuilder
knitr
NeedsCompilation
no
Packaged
2019-01-16 17:45:47 UTC; koppers
Author
Lars Koppers [aut, cre] (), Jonas Rieger [aut], Karin Boczek [ctb] (), Gerret von Nordheim [ctb] ()
Maintainer
Lars Koppers
Repository
CRAN
Date/Publication
2019-01-17 13:00:03 UTC

install.packages('tosca')

0.1-3

a month ago

https://github.com/Docma-TU/tosca

Lars Koppers

GPL (>= 2)

Depends on

R (>= 3.2.0)

Imports

tm (>= 0.7-3), lda (>= 1.3.2), quanteda (>= 1.1.1), lubridate (>= 1.3.3), htmltools (>= 0.3.6), RColorBrewer (>= 1.1-2), stringr (>= 1.3.1), WikipediR (>= 1.5.0), data.table (>= 1.11.4)

Suggests

testthat (>= 2.0.0), knitr (>= 1.20), devtools (>= 1.13), rmarkdown (>= 1.9)

Discussions