plot_important_terms: plot_important_terms
In rosepeglershare/TagR: SHARE's TagR package that uses machine learning to identify a comment's relevant topics
Description
Usage
Arguments
Value
View source: R/plot_important_terms.R
Description
Plots the most relevant terms for each topic using weighted log odds. This function can help to distinguish topics.
Usage
1
plot_important_terms(long_labelled_data, text_var, log_odds_n = 30)
Arguments
long_labelled_data
A long-styled labelled dataframe.
text_var
The text variable that the user wants to explore.
log_odds_n
The number of terms to include. Default: 30
Value
A word graph for each topics with term frequency against weighted log odds ratio.
rosepeglershare/TagR documentation built on Dec. 31, 2020, 3:12 a.m.
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Description Usage Arguments Value
View source: R/plot_important_terms.R
Description
Plots the most relevant terms for each topic using weighted log odds. This function can help to distinguish topics.
Usage
1 | plot_important_terms(long_labelled_data, text_var, log_odds_n = 30)
|
Arguments
long_labelled_data |
A long-styled labelled dataframe. |
text_var |
The text variable that the user wants to explore. |
log_odds_n |
The number of terms to include. Default: 30 |
Value
A word graph for each topics with term frequency against weighted log odds ratio.
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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