textplot_terms: Plot polarity scores of words
In LSX: Semi-Supervised Algorithm for Document Scaling
textplot_terms R Documentation
Plot polarity scores of words
Description
Plot polarity scores of words
Usage
textplot_terms(x, highlighted = NULL, max_highlighted = 50, max_words = 10000)
Arguments
x
a fitted textmodel_lss object.
highlighted
quanteda::pattern to select words to highlight.
max_highlighted
the maximum number of words to highlight. When
highlighted = NULL, words to highlight are randomly selected proportionally
to polarity ^ 2 * log(frequency).
max_words
the maximum number of words to plot. Words are randomly
sampled to keep the number below the limit.
LSX documentation built on March 7, 2023, 6:46 p.m.
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| textplot_terms | R Documentation |
Plot polarity scores of words
Description
Plot polarity scores of words
Usage
textplot_terms(x, highlighted = NULL, max_highlighted = 50, max_words = 10000)
Arguments
x |
a fitted textmodel_lss object. |
highlighted |
quanteda::pattern to select words to highlight. |
max_highlighted |
the maximum number of words to highlight. When
|
max_words |
the maximum number of words to plot. Words are randomly sampled to keep the number below the limit. |
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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