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>.">

text2map: R Tools for Text Matrices, Embeddings, and Networks (original) (raw)

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: 0.2.0
Depends: R (≥ 3.5.0), Matrix (≥ 1.4.2)
Imports: text2vec, parallel, doParallel, foreach, stringi, dplyr, kit, fastmatch, methods, qgraph (≥ 1.6.9), igraph (≥ 1.2.6), rlang, ClusterR, tibble, rsvd, permute
Suggests: testthat (≥ 3.0.0), tm, quanteda
Published: 2024-04-11
DOI: 10.32614/CRAN.package.text2map
Author: Dustin Stoltz ORCID iD [aut, cre], Marshall Taylor ORCID iD [aut]
Maintainer: Dustin Stoltz
BugReports: https://gitlab.com/culturalcartography/text2map/-/issues
License: MIT + file
URL: https://gitlab.com/culturalcartography/text2map
NeedsCompilation: no
Materials: README NEWS
CRAN checks: text2map results

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