Term frequency–inverse document frequency

Get tf-idf weights of values in one vector x categorized by another vector by.

Usage

get_tfidf_by(x, by)

Arguments

x

A vector, such as a column of character strings

by

A vector of categories, such as a column of document identifiers

Value

A vector of term frequency–inverse document frequencies for each value pair of x and by.

See also

Other vectorized functions: get_cumulative_vocabulary(), get_frequency(), get_hir(), get_htr(), get_idf_by(), get_match(), get_sentiment(), get_tf_by(), get_ttr(), is_hapax(), is_new()

Examples

my_values <- c(
  "the", "cat", "was", "bad",
  "the", "dog", "was", "very", "good",
  "the", "lizard", "is", "the", "most", "bad")
my_docs <- c(
  "A", "A", "A", "A",
  "B", "B", "B", "B", "B",
  "C", "C", "C", "C", "C", "C")

get_tfidf_by(my_values, my_docs)
#>  [1] 0.00000000 0.27465307 0.10136628 0.10136628 0.00000000 0.21972246
#>  [7] 0.08109302 0.21972246 0.21972246 0.00000000 0.18310205 0.18310205
#> [13] 0.00000000 0.18310205 0.06757752