Summarise emoji presence in a text column

emoji_summary() reports how many entries in a text column contain at least one emoji, alongside the total number of entries. An entry is counted once regardless of how many emoji it holds.

Usage

emoji_summary(data, text)

Arguments

data

A data frame or tibble containing a text column. Grouped data frames are accepted. The verbs that work a row at a time (adding columns, or keeping and expanding rows) carry the grouping through to their result, as dplyr::mutate() and dplyr::filter() do. The verbs that pool across rows – the counts, the co-occurrence edge lists, the time series – warn that they ignore the grouping and return one corpus-wide answer.

text

The text column to scan, supplied unquoted. Any atomic column is accepted and read as character, so a factor works and a numeric, Date or logical one simply contains no emoji. A list column – or a data-frame column – is refused rather than coerced, because coercing one deparses it and the emoji found would be in the code rather than in your data. What counts as an emoji is the same in every verb; see the Detection section of tidyEmoji for the one case that surprises people, code points that are emoji only when they carry U+FE0F.

Value

A one-row tibble with columns n_with_emoji (entries containing at least one emoji) and n_total (all entries).

See also

emoji_filter() to keep the emoji-bearing rows themselves.

Examples

df <- data.frame(text = c("I love R \U0001f600",
                          "no emoji here",
                          "flags \U0001f3c1\U0001f600"))
emoji_summary(df, text)
#> # A tibble: 1 × 2
#>   n_with_emoji n_total
#>          <int>   <int>
#> 1            2       3