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 [aut, cre], Marshall Taylor [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 NEWS CRAN checks: text2map results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=text2map to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4