clean_text: Clean text
In crqanlp: Cross-Recurrence Quantification Analysis for Dynamic Natural Language Processing
Description
Usage
Arguments
Details
Value
Author(s)
Examples
Description
Pre-processing of raw text. It removes stop-words, punctuations,
and create sentence markers.
Usage
1
clean_text(rawText,removeStopwords=F)
Arguments
rawText
A Vector of strings (tokens)
removeStopwords
A boolean: TRUE (remove stop words) - FALSE (it retains them)
Details
A convenience function that removes unwanted information from a vector of text.
The user has, at the moment, an argument to choose whether to remove stop words.
Value
It returns the vector of text all in lower case, and stripped
from punctuations and stop-words.
Author(s)
Rick Dale (rdale@ucla.edu)
Examples
1
2
3
4
5
6
7
8
9
library(gutenbergr)
## let's get Alice's Adventures in Wonderland by Carroll
# gutenberg_works(author == "Carroll, Lewis")
rawText = gutenberg_download(11) ## take the text
rawText = as.vector(rawText$text) ## vectorize the text
rawText = paste(rawText, collapse = " ") ## collapse the text
cleanText = clean_text(rawText, removeStopwords = TRUE)
text = cleanText$content
crqanlp documentation built on May 2, 2019, 1:09 p.m.
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Description Usage Arguments Details Value Author(s) Examples
Description
Pre-processing of raw text. It removes stop-words, punctuations, and create sentence markers.
Usage
1 | clean_text(rawText,removeStopwords=F)
|
Arguments
rawText |
A Vector of strings (tokens) |
removeStopwords |
A boolean: TRUE (remove stop words) - FALSE (it retains them) |
Details
A convenience function that removes unwanted information from a vector of text. The user has, at the moment, an argument to choose whether to remove stop words.
Value
It returns the vector of text all in lower case, and stripped from punctuations and stop-words.
Author(s)
Rick Dale (rdale@ucla.edu)
Examples
1 2 3 4 5 6 7 8 9 | library(gutenbergr)
## let's get Alice's Adventures in Wonderland by Carroll
# gutenberg_works(author == "Carroll, Lewis")
rawText = gutenberg_download(11) ## take the text
rawText = as.vector(rawText$text) ## vectorize the text
rawText = paste(rawText, collapse = " ") ## collapse the text
cleanText = clean_text(rawText, removeStopwords = TRUE)
text = cleanText$content
|
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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