`text2map`

: R Tools for Text Matrices This is an R Package with libraries and utility functions for computational text analysis.

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.

Please check out our book *Mapping Texts: Computational Text Analysis for the Social Sciences*

Install the CRAN version:

Or install the latest development version from GitLab:

There are four related packages hosted on GitLab:

`text2map.corpora`

: 13+ text datasets`text2map.dictionaries`

: norm dictionaries and word frequency lists`text2map.pretrained`

: pretrained embeddings and topic models`text2map.theme`

: changes`ggplot2`

aesthetics and loads viridis color scheme as default

The above packages can be installed using the following:

```
library(remotes)
install_gitlab("culturalcartography/text2map.theme")
install_gitlab("culturalcartography/text2map.corpora")
install_gitlab("culturalcartography/text2map.pretrained")
install_gitlab("culturalcartography/text2map.dictionaries")
```

We welcome contributions!

For any contributions, feel free to fork the package repository on GitLab or submit pull requests. We follow the Tidyverse and rOpensci style guides (see also Advanced R). In terms of adding functions, we encourage any method that works with base R matrices or the Matrix package’s `dgCMatrix`

class.

Please report any issues or bugs here: https://gitlab.com/culturalcartography/text2map/-/issues

Any questions and requests for support can also be directed to the package maintainers (maintainers [at] textmapping [dot] com).