tfidf: tf-idf
In TaddyLab/textir: Inverse Regression for Text Analysis
Description
Usage
Arguments
Value
Author(s)
See Also
Examples
Description
term frequency, inverse document frequency
Usage
1
Arguments
x
A dgCMatrix or matrix of counts.
normalize
Whether to normalize term frequency by document totals.
Value
A matrix of the same type as x, with values replaced by the tf-idf
f_{ij} * \log[n/(d_j+1)],
where f_{ij} is x_{ij}/m_i or x_{ij}, depending on normalize,
and d_j is the number of documents containing token j.
Author(s)
Matt Taddy taddy@chicagobooth.edu
See Also
pls, we8there
Examples
1
2
3
4
5
6
data(we8there)
## 20 high-variance tf-idf terms
colnames(we8thereCounts)[
order(-sdev(tfidf(we8thereCounts)))[1:20]]
TaddyLab/textir documentation built on May 9, 2019, 4:17 p.m.
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Description Usage Arguments Value Author(s) See Also Examples
Description
term frequency, inverse document frequency
Usage
1 |
Arguments
x |
A |
normalize |
Whether to normalize term frequency by document totals. |
Value
A matrix of the same type as x, with values replaced by the tf-idf
f_{ij} * \log[n/(d_j+1)],
where f_{ij} is x_{ij}/m_i or x_{ij}, depending on normalize,
and d_j is the number of documents containing token j.
Author(s)
Matt Taddy taddy@chicagobooth.edu
See Also
pls, we8there
Examples
1 2 3 4 5 6 | data(we8there)
## 20 high-variance tf-idf terms
colnames(we8thereCounts)[
order(-sdev(tfidf(we8thereCounts)))[1:20]]
|
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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