clean.text: Clean text and get it ready for textreg.
In textreg: n-Gram Text Regression, aka Concise Comparative Summarization
Description
Usage
Arguments
Examples
Description
Changes multiline documents to single line. Strips extra whitespace and punctuation.
Changes digits to 'X's. Non-alpha characters converted to spaces.
Usage
1
clean.text(bigcorp)
Arguments
bigcorp
A tm Corpus object.
Examples
1
2
3
4
5
library( tm )
txt = c( "thhis s! and bonkus 4:33pm and Jan 3, 2015. ",
" big space\n dawg-ness?")
a <- clean.text( VCorpus( VectorSource( txt ) ) )
a[[1]]
textreg documentation built on May 2, 2019, 8:34 a.m.
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Description Usage Arguments Examples
Description
Changes multiline documents to single line. Strips extra whitespace and punctuation. Changes digits to 'X's. Non-alpha characters converted to spaces.
Usage
1 | clean.text(bigcorp)
|
Arguments
bigcorp |
A tm Corpus object. |
Examples
1 2 3 4 5 | library( tm )
txt = c( "thhis s! and bonkus 4:33pm and Jan 3, 2015. ",
" big space\n dawg-ness?")
a <- clean.text( VCorpus( VectorSource( txt ) ) )
a[[1]]
|
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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