What R packages and functions are used in text cleaning process?
You need to use stringr packages.
install using this command
install.packages("stringr", dependencies = TRUE)
library(stringr).
And you can use the following function to cleaning text.
Clean_String <- function(str){
# Lowercase
tem <- tolower(str)
# Remove everything that is not a number or letter (may want to keep more
tem <- stringr::str_replace_all(tem,"[^a-zA-Z\\s]", " ")
# Shrink down to just one white space
tem <- stringr::str_replace_all(tem,"[\\s]+", " ")
# Split it
tem <- stringr::str_split(tem, " ")[[1]]
# Get rid of trailing "" if necessary
i <- which(tem == "")
if(length(indexes) > 0){
tem <- tem[-i]
}
return(tem)
}
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c. What will be the new bottleneck in the
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d . How many customers a day will not be served? Which
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