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Science of Emoticons: Research Framework and State of the Art in Analysis of kaomoji-type Emoticons

Science of Emoticons: Research Framework and State of the Art in Analysis of kaomoji-type Emoticons

Michal Ptaszynski, Jacek Maciejewski, Pawel Dybala, Rafal Rzepka, Kenji Araki, Yoshio Momouchi
Copyright: © 2012 |Pages: 27
ISBN13: 9781466609549|ISBN10: 1466609540|EISBN13: 9781466609556
DOI: 10.4018/978-1-4666-0954-9.ch012
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MLA

Ptaszynski, Michal, et al. "Science of Emoticons: Research Framework and State of the Art in Analysis of kaomoji-type Emoticons." Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements, edited by Uma Shanker Tiwary and Tanveer J. Siddiqui, IGI Global, 2012, pp. 234-260. https://doi.org/10.4018/978-1-4666-0954-9.ch012

APA

Ptaszynski, M., Maciejewski, J., Dybala, P., Rzepka, R., Araki, K., & Momouchi, Y. (2012). Science of Emoticons: Research Framework and State of the Art in Analysis of kaomoji-type Emoticons. In U. Tiwary & T. Siddiqui (Eds.), Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements (pp. 234-260). IGI Global. https://doi.org/10.4018/978-1-4666-0954-9.ch012

Chicago

Ptaszynski, Michal, et al. "Science of Emoticons: Research Framework and State of the Art in Analysis of kaomoji-type Emoticons." In Speech, Image, and Language Processing for Human Computer Interaction: Multi-Modal Advancements, edited by Uma Shanker Tiwary and Tanveer J. Siddiqui, 234-260. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0954-9.ch012

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Abstract

Emoticons are string of symbols representing body language in text-based communication. For a long time they have been considered as unnatural language entities. This chapter argues that, in over 40-year-long history of text-based communication, emoticons have gained a status of an indispensable means of support for text-based messages. This makes them fully a part of Natural Language Processing. The fact the emoticons have been considered as unnatural language expressions has two causes. Firstly, emoticons represent body language, which by definition is nonverbal. Secondly, there has been a lack of sufficient methods for the analysis of emoticons. Emoticons represent a multimodal (bimodal in particular) type of information. Although they are embedded in lexical form, they convey non-linguistic information. To prove this argument the authors propose that the analysis of emoticons was based on a theory designed for the analysis of body language. In particular, the authors apply the theory of kinesics to develop a state of the art system for extraction and analysis of kaomoji, Japanese emoticons. The system performance is verified in comparison with other emoticon analysis systems. Experiments showed that the presented approach provides nearly ideal results in different aspects of emoticon analysis, thus proving that emoticons possess features of multimodal expressions.

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