getTransformations: Transformations
In tm: Text Mining Package
Description
Usage
Value
See Also
Examples
Description
Predefined transformations (mappings) which can be used with
tm_map.
Usage
1
Value
A character vector with transformations provided by package tm.
See Also
removeNumbers, removePunctuation,
removeWords, stemDocument, and
stripWhitespace.
content_transformer to create custom transformations.
Examples
1
Example output
Loading required package: NLP
[1] "removeNumbers" "removePunctuation" "removeWords"
[4] "stemDocument" "stripWhitespace"
tm documentation built on April 7, 2021, 3:01 a.m.
R Package Documentation
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Description Usage Value See Also Examples
Description
Predefined transformations (mappings) which can be used with
tm_map.
Usage
1 |
Value
A character vector with transformations provided by package tm.
See Also
removeNumbers, removePunctuation,
removeWords, stemDocument, and
stripWhitespace.
content_transformer to create custom transformations.
Examples
1 |
Example output
Loading required package: NLP
[1] "removeNumbers" "removePunctuation" "removeWords"
[4] "stemDocument" "stripWhitespace"
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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