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However, an equals sign, a number 8, a capital letter B or a capital letter X are also used to indicate normal eyes, widened eyes, those with glasses or those with crinkled eyes, respectively. Symbols for the mouth vary, e.g. ")" for a smiley face or "(" for a sad face. One can also add a "}" after the mouth character to indicate a beard.
Emoticons is a Unicode block containing emoticons or emoji. [3] [4] [5] Most of them are intended as representations of faces, although some of them include hand gestures or non-human characters (a horned "imp", monkeys, cartoon cats).
This is an accepted version of this page This is the latest accepted revision, reviewed on 28 February 2025. Pictorial representation of a facial expression using punctuation marks, numbers and letters Not to be confused with Emoji, Sticker (messaging), or Enotikon. "O.O" redirects here. For other uses, see O.O (song) and OO (disambiguation). This article contains Unicode emoticons or emojis ...
Emoji can be used to set emotional tone in messages. Emoji tend not to have their own meaning but act as a paralanguage, adding meaning to text. Emoji can add clarity and credibility to text. [120] Sociolinguistically, the use of emoji differs depending on speaker and setting. Women use emoji more than men. Men use a wider variety of emoji.
This happy face had hair, a nose, teeth, pie eyes, and triangles over the eyes. [74] In 1953 and 1958, similar happy faces were used in promotional campaigns for the films Lili (1953) and Gigi (1958). [75] Happy faces in northeastern United States, and later in the entire country, became a "common theme" within advertising circles from the ...
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Appearance on Twemoji, used on Twitter, Discord, Roblox, the Nintendo Switch, and more. Face with Tears of Joy (😂) is an emoji depicting a face crying with laughter. It is part of the Emoticons block of Unicode, and was added to the Unicode Standard in 2010 in Unicode 6.0, the first Unicode release intended to release emoji characters.
A facial expression database is a collection of images or video clips with facial expressions of a range of emotions.Well-annotated (emotion-tagged) media content of facial behavior is essential for training, testing, and validation of algorithms for the development of expression recognition systems.