bind_tf_idf

0th

Percentile

Bind the term frequency and inverse document frequency of a tidy text dataset to the dataset

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.

Aliases
  • bind_tf_idf
Examples
# NOT RUN {
library(dplyr)
library(janeaustenr)

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

book_words

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

# }
Documentation reproduced from package tidytext, version 0.1.5, License: MIT + file LICENSE

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