topic_scaled_2d: Scaled topic coordinates in 2D space
In agoldst/dfrtopics: Tools for exploring topic models of text
topic_scaled_2d R Documentation
Scaled topic coordinates in 2D space
Description
Use multidimensional scaling to obtain two-dimensional coordinates for each
topic in a model.
Usage
topic_scaled_2d(m, n_words = 1000)
Arguments
m
mallet_model model object
n_words
Number of columns of the topic-word matrix to use
in calculation. Passed on to link{topic_divergences}.
Details
The coordinates are derived by finding the Jensen-Shannon divergences between
topics considered as distributions over words and then scaling this matrix to
two dimensions.
Value
a matrix with 2 columns and as many rows as m.
References
Mimno, D. 2012. Computational historiography: Data mining in a
century of classics journals. ACM J. Comput. Cult. Herit. 5, no. 1
(April 2012): article 3. http://doi.acm.org/10.1145/2160165.2160168.
See Also
row_dists, topic_divergences
agoldst/dfrtopics documentation built on July 15, 2022, 4:13 p.m.
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| topic_scaled_2d | R Documentation |
Scaled topic coordinates in 2D space
Description
Use multidimensional scaling to obtain two-dimensional coordinates for each topic in a model.
Usage
topic_scaled_2d(m, n_words = 1000)
Arguments
m |
|
n_words |
Number of columns of the topic-word matrix to use
in calculation. Passed on to |
Details
The coordinates are derived by finding the Jensen-Shannon divergences between topics considered as distributions over words and then scaling this matrix to two dimensions.
Value
a matrix with 2 columns and as many rows as m.
References
Mimno, D. 2012. Computational historiography: Data mining in a century of classics journals. ACM J. Comput. Cult. Herit. 5, no. 1 (April 2012): article 3. http://doi.acm.org/10.1145/2160165.2160168.
See Also
row_dists, topic_divergences
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.
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