| count_words | R Documentation | 
Calculate word frequency
count_words(
  term,
  exclude_words = NULL,
  stop_words = stopwords(),
  min_word_length = 1,
  tokenizer = "words",
  transform_case = tolower,
  remove_numbers = TRUE,
  remove_punctuation = TRUE,
  custom_transformer = NULL,
  stemming = FALSE,
  dictionary = NULL
)
term | 
 A vector of description texts.  | 
exclude_words | 
 The words that should be excluded.  | 
stop_words | 
 The stop words that should be be removed.  | 
min_word_length | 
 Minimum length of the word to be counted.  | 
tokenizer | 
 The tokenizer function, one of the values accepted by   | 
transform_case | 
 The function normalizing lettercase of the words.  | 
remove_numbers | 
 Whether to remove numbers.  | 
remove_punctuation | 
 Whether to remove punctuation.  | 
custom_transformer | 
 Custom function that transforms words.  | 
stemming | 
 Whether to only keep the roots of inflected words.  | 
dictionary | 
 A vector of words to be counted (if given all other words will be excluded).  | 
The text preprocessing followings the instruction from http://www.sthda.com/english/wiki/word-cloud-generator-in-r-one-killer-function-to-do-everything-you-need.
A data frame with words and frequencies.
gm = readRDS(system.file("extdata", "random_GO_BP_sim_mat.rds", package = "simplifyEnrichment"))
go_id = rownames(gm)
go_term = AnnotationDbi::select(GO.db::GO.db, keys = go_id, columns = "TERM")$TERM
count_words(go_term) |> head()
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