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tidyEmoji is now positioned as a general toolkit for emoji in any text column (social-media posts, reviews, chat logs, survey responses, …), not just tweets.
emoji_sentiment() scores the emoji in each row using
the bundled emoji_sentiment_lexicon (the Emoji Sentiment
Ranking of Kralj Novak et al., 2015), returning a mean sentiment in
[-1, 1].emoji_frequency() returns the count of every
emoji in a text column, with name, shortcode and category.
top_n_emojis() is now a thin wrapper over it.emoji_tokens() expands data to one row per emoji
occurrence with its name, category and sentiment score — a tidy,
“one-token-per-row” shape.emoji_filter() is a clearer, text-agnostic name for
emoji_tweets() (which is kept as a synonym).emoji_sentiment_lexicon.top_n_emojis() in particular is
dramatically faster on large inputs.top_n_emojis() no longer emits a many-to-many join
warning, and reports the emoji’s canonical shortcode
(e.g. mask) by default.emoji_tweets() previously returned a plain data frame),
and emoji_extract_unnest() no longer prints a grouping
message.data-raw/).tweet_tbl -> data
and tweet_text -> text. Code that passed
these positionally (e.g. df %>% emoji_summary(text_col))
is unaffected; update any calls that named the old arguments.top_n_emojis(duplicated_unicode = "yes"/"no") is
deprecated in favour of the logical
duplicated = TRUE/FALSE. The old argument still works with
a warning.These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.