text2map: R Tools for Text Matrices, Embeddings, and Networks

This is a collection of libraries and utility functions for computational text analysis for the social sciences. The functions are optimized for working with various kinds of text matrices. Focusing on the text matrix as the primary object – which is 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: 0.1.0
Depends: R (≥ 3.5.0)
Imports: tibble, Matrix, text2vec, parallel, doParallel, foreach, stringr, stringi, dplyr, kit, fastmatch, mlpack, methods, qgraph (≥ 1.6.9), igraph (≥ 1.2.6), magrittr, rlang
Suggests: testthat (≥ 3.0.0), tidytext, tm, quanteda, knitr, rmarkdown
Published: 2021-08-24
Author: Dustin Stoltz ORCID iD [aut, cre], Marshall Taylor ORCID iD [aut]
Maintainer: Dustin Stoltz <dss219 at lehigh.edu>
BugReports: https://gitlab.com/culturalcartography/text2map/-/issues
License: MIT + file LICENSE
URL: https://gitlab.com/culturalcartography/text2map
NeedsCompilation: no
Materials: README
CRAN checks: text2map results


Reference manual: text2map.pdf
Vignettes: CMDist: Quick Start Guide
CoCA: Concept Class Analysis
Package source: text2map_0.1.0.tar.gz
Windows binaries: r-devel: text2map_0.1.0.zip, r-release: text2map_0.1.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): text2map_0.1.0.tgz, r-release (x86_64): text2map_0.1.0.tgz, r-oldrel: not available


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