This is a collection of functions optimized for working with with various kinds of text matrices. Focusing on the text matrix as the primary object - represented either as a base R dense matrix or a 'Matrix' package sparse matrix - allows for a consistent and intuitive interface that stays close to the underlying mathematical foundation of computational text analysis. In particular, the package includes functions for working with word embeddings, text networks, and document-term matrices. Methods developed in Stoltz and Taylor (2019) <doi:10.1007/s42001-019-00048-6>, Taylor and Stoltz (2020) <doi:10.1007/s42001-020-00075-8>, Taylor and Stoltz (2020) <doi:10.15195/v7.a23>, and Stoltz and Taylor (2021) <doi:10.1016/j.poetic.2021.101567>.
Version: | 0.1.6 |
Depends: | R (≥ 3.5.0), Matrix |
Imports: | text2vec, parallel, doParallel, foreach, stringr, stringi, dplyr, kit, fastmatch, methods, qgraph (≥ 1.6.9), igraph (≥ 1.2.6), magrittr, rlang, ClusterR, tibble, rsvd |
Suggests: | testthat (≥ 3.0.0), tidytext, tm, quanteda, knitr, rmarkdown |
Published: | 2022-08-17 |
Author: | Dustin Stoltz [aut, cre], Marshall Taylor [aut] |
Maintainer: | Dustin Stoltz <maintainers at textmapping.com> |
BugReports: | https://gitlab.com/culturalcartography/text2map/-/issues |
License: | MIT + file LICENSE |
URL: | https://gitlab.com/culturalcartography/text2map |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | text2map results |
Reference manual: | text2map.pdf |
Vignettes: |
CMDist: Quick Start Guide CoCA: Concept Class Analysis |
Package source: | text2map_0.1.6.tar.gz |
Windows binaries: | r-devel: text2map_0.1.6.zip, r-release: text2map_0.1.6.zip, r-oldrel: text2map_0.1.6.zip |
macOS binaries: | r-release (arm64): text2map_0.1.6.tgz, r-oldrel (arm64): text2map_0.1.6.tgz, r-release (x86_64): text2map_0.1.6.tgz, r-oldrel (x86_64): text2map_0.1.6.tgz |
Old sources: | text2map archive |
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