topic_entropy: Calculate the topic entropy
In MansMeg/tidytopics: Tidy Topic Modeling Toolbox for R
Description
Usage
Arguments
Details
Examples
Description
Calculate the topic entropy
Usage
1
topic_entropy(x, prior = 0)
Arguments
x
a tidy_topic_array.
prior
a smoothing constant to use (often alpha). Not currently implemented.
Details
Calculates the entropy over topics.
Assumes that of beta is set to 0 the probability 0 is the limit when p -> 0+ i.e 0.
Examples
1
2
3
4
data("sotu50")
dtm <- doc_topic_matrix(sotu50)
H_0 <- topic_entropy(x = dtm)
H_doc <- topic_entropy(x = dplyr::group_by(dtm, doc))
MansMeg/tidytopics documentation built on May 8, 2019, 3:52 p.m.
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Description Usage Arguments Details Examples
Description
Calculate the topic entropy
Usage
1 | topic_entropy(x, prior = 0)
|
Arguments
x |
a |
prior |
a smoothing constant to use (often alpha). Not currently implemented. |
Details
Calculates the entropy over topics.
Assumes that of beta is set to 0 the probability 0 is the limit when p -> 0+ i.e 0.
Examples
1 2 3 4 | data("sotu50")
dtm <- doc_topic_matrix(sotu50)
H_0 <- topic_entropy(x = dtm)
H_doc <- topic_entropy(x = dplyr::group_by(dtm, doc))
|
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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