topic_words: The topic-words matrix
In agoldst/dfrtopics: Tools for exploring topic models of text
topic_words R Documentation
The topic-words matrix
Description
Extracts the matrix from a mallet_model model with topics in rows and word
weights in columns. The word order is the same as that of the vocabulary for
the MALLET InstanceList.
Usage
topic_words(m, ...)
Arguments
m
a mallet_model object
Details
The expectation throughout dfrtopics is that we keep unnormalized and
unsmoothed weights as the "raw" form of the model; it is easier to reason
about and to do post-hoc calculations with, even if not rigorously correct.
It is up to the user to apply normalization and smoothing where appropriate.
Value
a numeric matrix
agoldst/dfrtopics documentation built on July 15, 2022, 4:13 p.m.
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| topic_words | R Documentation |
The topic-words matrix
Description
Extracts the matrix from a mallet_model model with topics in rows and word
weights in columns. The word order is the same as that of the vocabulary for
the MALLET InstanceList.
Usage
topic_words(m, ...)
Arguments
m |
a |
Details
The expectation throughout dfrtopics is that we keep unnormalized and
unsmoothed weights as the "raw" form of the model; it is easier to reason
about and to do post-hoc calculations with, even if not rigorously correct.
It is up to the user to apply normalization and smoothing where appropriate.
Value
a numeric matrix
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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