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Emoticon

About: Emoticon is a research topic. Over the lifetime, 381 publications have been published within this topic receiving 4520 citations. The topic is also known as: smiley.


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Patent
07 Sep 2010
TL;DR: Graphical user representations such as emoticons or avatars, used to convey mood and emotion, can be dynamically modified and manipulated, eg by squeezing, rotating, distorting, colouring, etc as mentioned in this paper.
Abstract: Graphical user representations, such as emoticons or avatars, used to convey mood and emotion, can be dynamically modified and manipulated, eg by squeezing, rotating, distorting, colouring, etc This enables a user to customize or tailor an existing emoticon to better reflect the user's current mood or emotion For example, a user may insert a smiley face emoticon ~ into a text message and then manipulate or distort the face or a component of the face (eg the smile) to broaden the smile into a grin, or twist the smile into an ironic smile, etc This enables the user to personalize the emoticon rather than having to select the most appropriate emoticon from a palette of predefined emoticons Another aspect is device hardware (eg dedicated or shared user interface elements or specific touchscreen gestures) for recognizing the squeezes or other gestures that are meant to modify or manipulate the emoticon

92 citations

Patent
Joern Ostermann1, Mehmet Reha Civanlar1, Eric Cosatto1, Hans Peter Graf1, Yann LeCun1 
02 Nov 2001
TL;DR: In this paper, a system and method of providing sender-customization of multi-media messages through the use of emoticons is disclosed, in which the sender inserts the emoticons into a text message, and an icon representing the emoticon is inserted into the text at the position of the cursor.
Abstract: A system and method of providing sender-customization of multi-media messages through the use of emoticons is disclosed. The sender inserts the emoticons into a text message. As an animated face audibly delivers the text, emoticons associated with the message are started a predetermined period of time or number of words prior to the position of the emoticon in the message text and completed a predetermined length of time or number of words following the location of the emoticon. The sender may insert emoticons through the use of emoticon buttons that are icons available for choosing. Upon sender selections of an emoticon, an icon representing the emoticon is inserted into the text at the position of the cursor. Once an emoticon is chosen, the sender may also choose the amplitude for the emoticon and increased or decreased amplitude will be displayed in the icon inserted into the message text.

87 citations

Patent
Kiran Challapali1
19 Mar 2002
TL;DR: In this paper, a visual speech system for converting emoticons into facial expressions on a displayable animated facial image is presented, where the system is implemented remotely over a network, such as in an on-line chat environment.
Abstract: A visual speech system for converting emoticons into facial expressions on a displayable animated facial image. The system comprises: (1) a data import system for receiving text data that includes at least one emoticon string, wherein the at least one emoticon string is associated with a predetermined facial expression; and (2) a text-to-animation system for generating a displayable animated face image that can simulate at least one facial movement corresponding to the predetermined facial expression. The system is preferably implemented remotely over a network, such as in an on-line chat environment.

85 citations

Proceedings ArticleDOI
01 Sep 2013
TL;DR: The sentiment expressed by an emoticon agrees with the sentiment of the accompanying text only slightly better than random, so using the text accompanying emoticons to train sentiment models is not likely to produce the best results.
Abstract: Emoticons are widely used to express positive or negative sentiment on Twitter. We report on a study with live users to determine whether emoticons are used to merely emphasize the sentiment of tweets, or whether they are the main elements carrying the sentiment. We found that the sentiment of an emoticon is in substantial agreement with the sentiment of the entire tweet. Thus, emoticons are useful as predictors of tweet sentiment and should not be ignored in sentiment classification. However, the sentiment expressed by an emoticon agrees with the sentiment of the accompanying text only slightly better than random. Thus, using the text accompanying emoticons to train sentiment models is not likely to produce the best results, a fact that we show by comparing lexicons generated using emoticons with others generated using simple textual features.

71 citations

Patent
25 Sep 2003
TL;DR: In this paper, a method for incorporating emotional information in a communication stream by receiving an emotional state indicator indicating the emotional state of a presenter in a conversation session, retrieving a cultural profile for the presenter, and retrieving a plurality of cultural profiles corresponding to each of several recipients in the communication session, for each recipient, translating the emotional states indicator into a corresponding emoticon according to a difference between the cultural profile of the presenter and the cultural profiles of each recipient.
Abstract: A method for incorporating emotional information in a communication stream by receiving an emotional state indicator indicating an emotional state of a presenter in a communication session, retrieving a cultural profile for the presenter, retrieving a plurality of cultural profiles corresponding to each of several recipients in the communication session, for each recipient, translating the emotional state indicator into a corresponding emoticon according to a difference between the cultural profile of the presenter and the cultural profile of each recipient, merging the translated emoticon into a copy of the communication session, and presenting communication session and merged translated emoticon to each recipient.

69 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20222
202113
202030
201923
201836
201742