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) .


News

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("text2map")

0.1.0 by Dustin Stoltz, a month ago


https://gitlab.com/culturalcartography/text2map


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