bind_tf_idf: Bind the term frequency and inverse document frequency of a...

In igorscarvalho/tidytext: Text Mining using 'dplyr', 'ggplot2', and Other Tidy Tools

Description

Calculate and bind the term frequency and inverse document frequency of a tidy text dataset, along with the product, tf-idf, to the dataset. Each of these values are added as columns. This function supports non-standard evaluation through the tidyeval framework.

Usage

bind_tf_idf(tbl, term, document, n)

Arguments

tbl	A tidy text dataset with one-row-per-term-per-document
term	Column containing terms as string or symbol
document	Column containing document IDs as string or symbol
n	Column containing document-term counts as string or symbol

Details

The arguments term, document, and n are passed by expression and support quasiquotation; you can unquote strings and symbols.

If the dataset is grouped, the groups are ignored but are retained.

The dataset must have exactly one row per document-term combination for this to work.

Examples

library(dplyr)
library(janeaustenr)

book_words <- austen_books() %>%
  unnest_tokens(word, text) %>%
  count(book, word, sort = TRUE)

book_words

# find the words most distinctive to each document
book_words %>%
  bind_tf_idf(word, book, n) %>%
  arrange(desc(tf_idf))

igorscarvalho/tidytext documentation built on Aug. 23, 2020, 12:44 a.m.