The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Find topics in texts which are semantically embedded using techniques like word2vec or Glove. This topic modelling technique models each word with a categorical distribution whose natural parameter is the inner product between a word embedding and an embedding of its assigned topic. The techniques are explained in detail in the paper 'Topic Modeling in Embedding Spaces' by Adji B. Dieng, Francisco J. R. Ruiz, David M. Blei (2019), available at <doi:10.48550/arXiv.1907.04907>.
| Version: | 0.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | graphics, stats, Matrix, torch (≥ 0.5.0) |
| Suggests: | udpipe (≥ 0.8.4), word2vec, uwot, tinytest, textplot (≥ 0.2.0), ggrepel, ggalt |
| Published: | 2021-11-08 |
| Author: | Jan Wijffels [aut, cre, cph] (R implementation), BNOSAC [cph] (R implementation), Adji B. Dieng [ctb, cph] (original Python implementation in inst/orig), Francisco J. R. Ruiz [ctb, cph] (original Python implementation in inst/orig), David M. Blei [ctb, cph] (original Python implementation in inst/orig) |
| Maintainer: | Jan Wijffels <jwijffels at bnosac.be> |
| License: | MIT + file LICENSE |
| NeedsCompilation: | no |
| SystemRequirements: | LibTorch (https://pytorch.org/) |
| Materials: | README NEWS |
| CRAN checks: | topicmodels.etm results |
| Reference manual: | topicmodels.etm.pdf |
| Package source: | topicmodels.etm_0.1.0.tar.gz |
| Windows binaries: | r-devel: topicmodels.etm_0.1.0.zip, r-release: topicmodels.etm_0.1.0.zip, r-oldrel: topicmodels.etm_0.1.0.zip |
| macOS binaries: | r-release (arm64): topicmodels.etm_0.1.0.tgz, r-oldrel (arm64): topicmodels.etm_0.1.0.tgz, r-release (x86_64): topicmodels.etm_0.1.0.tgz, r-oldrel (x86_64): topicmodels.etm_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=topicmodels.etm to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.