Text Mining with R – Comparing Word Counts in two Text Documents
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Here’s what I came up with to compare word counts in two pieces of text. If you got any idea, I’d love to learn about alternatives!Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
## a function that compares word counts in two texts
wordcount <- function(x, y, stem = F, minlen = 1, marg = F) {
require(tm)
x_clean <- unlist(strsplit(removePunctuation(x), "\\s+"))
y_clean <- unlist(strsplit(removePunctuation(y), "\\s+"))
x_clean <- tolower(x_clean[nchar(x_clean) >= minlen])
y_clean <- tolower(y_clean[nchar(y_clean) >= minlen])
if ( stem == T ) {
x_stem <- stemDocument(x_clean)
y_stem <- stemDocument(y_clean)
x_tab <- table(x_stem)
y_tab <- table(y_stem)
cnam <- sort(unique(c(names(x_tab), names(y_tab))))
z <- matrix(rep(0, 3*(length(cnam)+1)), 3, length(cnam)+1, dimnames=list(c("x", "y", "rowsum"), c(cnam, "colsum")))
z["x", names(x_tab)] <- x_tab
z["y", names(y_tab)] <- y_tab
z["rowsum",] <- colSums(z)
z[,"colsum"] <- rowSums(z)
ifelse(marg == T, return(t(z)), return(t(z[1:dim(z)[1]-1, 1:dim(z)[2]-1])))
} else {
x_tab <- table(x_clean)
y_tab <- table(y_clean)
cnam <- sort(unique(c(names(x_tab), names(y_tab))))
z <- matrix(rep(0, 3*(length(cnam)+1)), 3, length(cnam)+1, dimnames=list(c("x", "y", "rowsum"), c(cnam, "colsum")))
z["x", names(x_tab)] <- x_tab
z["y", names(y_tab)] <- y_tab
z["rowsum",] <- colSums(z)
z[,"colsum"] <- rowSums(z)
ifelse(marg == T, return(t(z)), return(t(z[1:dim(z)[1]-1, 1:dim(z)[2]-1])))
}
}
## example
x = "Hello new, new world, this is one of my nice text documents - I wrote it today"
y = "Good bye old, old world, this is a nicely and well written text document"
wordcount(x, y, stem = T, minlen = 3, marg = T)
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