21.39 Review Preparing the Corpus

Here in one sequence is collected the code to perform a text mining project. Notice that we would not necessarily do all of these steps so pick and choose as is appropriate to your situation.

# Locate and load the Corpus.

cname <- file.path(".", "corpus", "txt")
docs <- Corpus(DirSource(cname))

docs
summary(docs)
inspect(docs[1])

# Transforms

toSpace <- content_transformer(function(x, pattern) gsub(pattern, " ", x))
docs <- tm_map(docs, toSpace, "/|@|\\|")

docs <- tm_map(docs, content_transformer(tolower))
docs <- tm_map(docs, removeNumbers)
docs <- tm_map(docs, removePunctuation)
docs <- tm_map(docs, removeWords, stopwords("english"))
docs <- tm_map(docs, removeWords, c("own", "stop", "words"))
docs <- tm_map(docs, stripWhitespace)

toString <- content_transformer(function(x, from, to) gsub(from, to, x))
docs <- tm_map(docs, toString, "specific transform", "ST")
docs <- tm_map(docs, toString, "other specific transform", "OST")

docs <- tm_map(docs, stemDocument)


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