eval_dictionaries: Compute scores based on dictionaries' word counts
In NicolasJBM/lexR: Toolbox to manipulate and analyze texts
Description
Usage
Arguments
Value
Author(s)
See Also
View source: R/eval_dictionaries.R
Description
Count the occurrences of words associated with a dictionary.
Usage
1
eval_dictionaries(bow, dictionary, score = "total")
Arguments
bow
Tibble. Bag of words for one document with at least two variables: "term" and "count".
dictionary
Tibble. Categorizations of words with at least three variables: "term", "category", and "value".
score
Character string. Whether the function should return a "total" or a "percentage".
Value
A tibble with documents as rows, categories as variables, ad the required summary in cells
Author(s)
Nicolas Mangin
See Also
NicolasJBM/lexR documentation built on Feb. 4, 2021, 6:43 p.m.
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Description Usage Arguments Value Author(s) See Also
View source: R/eval_dictionaries.R
Description
Count the occurrences of words associated with a dictionary.
Usage
1 | eval_dictionaries(bow, dictionary, score = "total")
|
Arguments
bow |
Tibble. Bag of words for one document with at least two variables: "term" and "count". |
dictionary |
Tibble. Categorizations of words with at least three variables: "term", "category", and "value". |
score |
Character string. Whether the function should return a "total" or a "percentage". |
Value
A tibble with documents as rows, categories as variables, ad the required summary in cells
Author(s)
Nicolas Mangin
See Also
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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