model_rp: Random Projections Model
In news-r/gensimr: Topic Modelling
Description
Usage
Arguments
Details
Description
Reduce vector space dimensionality. This is a very efficient (both memory- and CPU-friendly)
approach to approximating TfIdf distances between documents, by throwing in a little randomness.
Usage
1
2
3
Arguments
corpus
Corpus as returned by wrap. A tf-idf/bag-of-words transformation is recommended for LSI.
...
Any other options, from the official documentation.
file
Path to a saved model.
Details
Target dimensionality (num_topics) of 200–500 is recommended as a “golden standard” https://dl.acm.org/citation.cfm?id=1458105.
news-r/gensimr documentation built on Jan. 9, 2021, 5:55 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Details
Description
Reduce vector space dimensionality. This is a very efficient (both memory- and CPU-friendly) approach to approximating TfIdf distances between documents, by throwing in a little randomness.
Usage
1 2 3 |
Arguments
corpus |
Corpus as returned by |
... |
Any other options, from the official documentation. |
file |
Path to a saved model. |
Details
Target dimensionality (num_topics) of 200–500 is recommended as a “golden standard” https://dl.acm.org/citation.cfm?id=1458105.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.