This package aims to provide a toy laboratory for research and experimentation in distributional semantics as well as a user-friendly environment for building and applying distributional semantic models (DSM) in R
Stephanie Evert (https://purl.org/stephanie.evert)
| Package: | wordspace |
| Type: | Package |
| Version: | 0.2-7 |
| Date: | 2022-02-22 |
| License: | GPL-3 |
| LazyLoad: | yes |
Please cite this package as
Evert, Stefan (2014). Distributional semantics in R with the wordspace package. In Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, pages 110--114, Dublin, Ireland.
and link to the package homepage at http://wordspace.r-forge.r-project.org/.
Tutorial materials using the package for examples and exercises are available from http://wordspace.collocations.de/ under an open-source license. You will also find some pre-compiled distributional semantic models (DSM) there.
If you are new to the wordspace package, you should start by reading the package vignette and trying out the code examples show there.
Good starting points into the package documentation are dsm, read.dsm.triplet, dist.matrix and nearest.neighbours.