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Wordcloud Plot

Source: R/text_mining.R
textCloud.Rd

Study the distribution of a target variable vs another variable. This function is quite similar to the funModeling's corrplot function.

Usage

textCloud(
  text,
  lang = "english",
  exclude = NULL,
  seed = 0,
  keep_spaces = FALSE,
  min = 2,
  pal = NA,
  print = TRUE
)

Arguments

text

Character vector

lang

Character. Language in text (used for stop words)

exclude

Character vector. Which word do you wish to exclude?

seed

Numeric. Seed for re-producible plots

keep_spaces

Boolean. If you wish to keep spaces in each line to keep unique compount words, separated with spaces, set to TRUE. For example, 'LA ALAMEDA' will be set as 'LA_ALAMEDA' and treated as a single word.

min

Integer. Words with less frequency will not be plotted

pal

Character vector. Which colours do you wish to use

print

Boolean. Plot results as textcloud?

Value

wordcloud plot object

See also

Other Text Mining: cleanText(), ngrams(), remove_stopwords(), replaceall(), sentimentBreakdown(), textFeats(), textTokenizer(), topics_rake()