Perform a pairwise count of words by id

This is a 'data.table' implementation that mimics the output of pairwise_count() from 'widyr' to reduce package dependency. This is used internally within tm_cooc().

pairwise_count(data, id = "line", word = "word")

Arguments

data

Data frame output from tm_clean().

id

String to represent the id variable. Defaults to "line".

word

String to represent the word variable. Defaults to "word".

Value

data frame with the following columns representing a pairwise count:

• "item1"

• "item2"

• "n"

See also

Other Support: camel_clean(), check_inputs(), combine_signals(), cut_hour(), extract_date_range(), extract_hr(), heat_colours(), is_date_format(), maxmin(), p_test(), plot_WOE(), read_preamble(), rgb2hex(), totals_bind(), totals_col(), totals_reorder(), tstamp(), us_to_space(), wrap()

Other Text-mining: meeting_tm_report(), subject_validate_report(), subject_validate(), tm_clean(), tm_cooc(), tm_freq(), tm_wordcloud()

Examples

td <- data.frame(line = c(1, 1, 2, 2),
                 word = c("work", "meeting", "catch", "up"))

pairwise_count(td, id = "line", word = "word")
#> # A tibble: 2 × 3
#>   item1 item2       n
#>   <chr> <chr>   <int>
#> 1 work  meeting     1
#> 2 catch up          1