clean_corpus: Clean a tidy data frame
In cldatascience/tidygramr: Clean Text and Create Tidy n-grams Using Tools such as 'tidytext'
Description
Usage
Arguments
Value
Examples
Description
This is a function that cleans a tidy data frame representing
a corpus of documents
Usage
1
clean_corpus(corpus, rm_special = FALSE, rm_numeric = FALSE)
Arguments
corpus
A data frame containing a column named text
rm_special
If TRUE, remove special (non-alphanumeric) characters
rm_numeric
If TRUE, remove numeric characters
Value
A data frame containing the cleaned corpus
Examples
1
2
library(janeaustenr)
corpus <- clean_corpus(austen_books())
cldatascience/tidygramr documentation built on May 10, 2019, 1:09 a.m.
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Description Usage Arguments Value Examples
Description
This is a function that cleans a tidy data frame representing a corpus of documents
Usage
1 | clean_corpus(corpus, rm_special = FALSE, rm_numeric = FALSE)
|
Arguments
corpus |
A data frame containing a column named text |
rm_special |
If TRUE, remove special (non-alphanumeric) characters |
rm_numeric |
If TRUE, remove numeric characters |
Value
A data frame containing the cleaned corpus
Examples
1 2 | library(janeaustenr)
corpus <- clean_corpus(austen_books())
|
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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