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This is a list of emoticons or textual portrayals of a writer's moods or facial expressions in the form of icons. Originally, these icons consisted of ASCII art, and later, Shift JIS art and Unicode art. In recent times, graphical icons, both static and animated, have joined the traditional text-based emoticons; these are commonly known as ...
Grinning Face U+1F600: Emoji 1.0 in 2015 Emoticons: Grinning: 😂 Face with Tears of Joy U+1F602: Emoji 1.0 in 2015 Emoticons see Face with Tears of Joy emoji: 😍 Smiling Face with Heart-Shaped Eyes U+1F60D: Emoji 1.0 in 2015 Emoticons see Face with Heart Eyes emoji: 🕴️ Man in Business Suit Levitating U+1F574: Unicode 7.0 in 2014
Emojis like the smiley face and red heart are pretty straightforward, but others are more ambiguous. (Photo: Getty) (Westend61 via Getty Images) 10 of the most misunderstood emojis
Emojipedia is an emoji reference website [1] which documents the meaning and common usage of emoji characters [2] in the Unicode Standard.Most commonly described as an emoji encyclopedia [3] or emoji dictionary, [4] Emojipedia also publishes articles and provides tools for tracking new emoji characters, design changes [5] and usage trends.
Emoji Shuffle. New emojis have arrived! As part of the new iOS 17.4 beta update, iPhone users will now see some friendly new faces (and a few random objects) on their emoji keyboard.
Interestingly, the just straight crying face only ranked as the 11th most-used, standing for "ughh, omgg and xc" - whatever that means. The second most-popular emoji is the heart-shaped-eyes face.
This is an accepted version of this page This is the latest accepted revision, reviewed on 18 January 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 ...
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.