Package: topicmodels.etm 0.1.0
topicmodels.etm: Topic Modelling in Embedding Spaces
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 <arxiv:1907.04907>.
Authors:
topicmodels.etm_0.1.0.tar.gz
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topicmodels.etm.pdf |topicmodels.etm.html✨
topicmodels.etm/json (API)
NEWS
# Install 'topicmodels.etm' in R: |
install.packages('topicmodels.etm', repos = c('https://jwijffels.r-universe.dev', 'https://cloud.r-project.org')) |
- ng20 - Bag of words sample of the 20 newsgroups dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:e76ac8e3df. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Sep 13 2024 |
R-4.5-win | NOTE | Sep 13 2024 |
R-4.5-linux | NOTE | Sep 13 2024 |
R-4.4-win | NOTE | Sep 13 2024 |
R-4.4-mac | NOTE | Sep 13 2024 |
R-4.3-win | OK | Sep 13 2024 |
R-4.3-mac | OK | Sep 13 2024 |
Exports:ETM
Dependencies:bitbit64callrclicorodescellipsisgluejsonlitelatticemagrittrMatrixprocessxpsR6Rcpprlangsafetensorstorchwithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Get matrices out of an ETM object | as.matrix.ETM |
Topic Modelling in Semantic Embedding Spaces | ETM |
Bag of words sample of the 20 newsgroups dataset | ng20 |
Plot functionality for an ETM object | plot.ETM |
Predict functionality for an ETM object. | predict.ETM |
Project ETM embeddings using UMAP | summary.ETM |