clean_text: clean text data (remove punctuation, special characters,...
In till-tietz/rbow: Bag of Words and Document Frequency Analysis for Multiple Dictionaries
Description
Usage
Arguments
Value
Description
clean text data (remove punctuation, special characters, numbers, english stopwords)
Usage
1
clean_text(texts, rm_stopwords = FALSE, stopwords_language = NULL)
Arguments
texts
list of character vectors
rm_stopwords
if TRUE clean_text removes stopwords (default FALSE)
stopwords_language
stopword dictionary language ISO 639-1 code as character vector
Value
list of cleaned character vectors
till-tietz/rbow documentation built on Oct. 21, 2021, 9:16 p.m.
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Description Usage Arguments Value
Description
clean text data (remove punctuation, special characters, numbers, english stopwords)
Usage
1 | clean_text(texts, rm_stopwords = FALSE, stopwords_language = NULL)
|
Arguments
texts |
list of character vectors |
rm_stopwords |
if TRUE clean_text removes stopwords (default FALSE) |
stopwords_language |
stopword dictionary language ISO 639-1 code as character vector |
Value
list of cleaned character vectors
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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