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) , Taylor and Stoltz (2020) , Taylor and Stoltz (2020) , and Stoltz and Taylor (2021) .


Reference manual

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0.1.0 by Dustin Stoltz, a month ago


Report a bug at https://gitlab.com/culturalcartography/text2map/-/issues

Browse source code at https://github.com/cran/text2map

Authors: Dustin Stoltz [aut, cre] , Marshall Taylor [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports tibble, Matrix, text2vec, parallel, doParallel, foreach, stringr, stringi, dplyr, kit, fastmatch, mlpack, methods, qgraph, igraph, magrittr, rlang

Suggests testthat, tidytext, tm, quanteda, knitr, rmarkdown

See at CRAN