Science of Emoticons

Ptaszyński, Michał; Maciejewski, Jacek; Dybała, Paweł; Rzepka, Rafał; Araki, Kenji; Momouchi, Yoshio

doi:10.4018/978-1-4666-0954-9.ch012

Cited by 4 publications

(2 citation statements)

References 17 publications

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“…The specific linguistic resource used in this study is not the entire YACIS but a part of YACIS used to construct an ontology of emotion objects created based on the annotations of emotional information in YACIS by Ptaszynski et al [40].…”

Section: Emotional Information In the Yacis Corpusmentioning

confidence: 99%

The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions

Wang,

Isomura,

Ptaszynski

et al. 2024

Applied Sciences

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Wide adoption of social media has caused an explosion of information stored online, with the majority of that information containing subjective, opinionated, and emotional content produced daily by users. The field of emotion analysis has helped effectively process such human emotional expressions expressed in daily social media posts. Unfortunately, one of the greatest limitations of popular word-based emotion analysis systems has been the limited emotion vocabulary. This paper presents an attempt to extensively expand one such word-based emotion analysis system by integrating multiple emotion dictionaries and implementing an automatic extraction mechanism for emotive expressions. We first leverage diverse emotive expression dictionaries to expand the emotion lexicon of the system. To do that, we solve numerous problems with the integration of various dictionaries collected using different standards. We demonstrate the performance improvement of the system with improved accuracy and granularity of emotion classification. Furthermore, our automatic extraction mechanism facilitates the identification of novel emotive expressions in an emotion dataset, thereby enriching the depth and breadth of emotion analysis capabilities. In particular, the automatic extraction method shows promising results for applicability in further expansion of the dictionary base in the future, thus advancing the field of emotion analysis and offering new avenues for research in sentiment analysis, affective computing, and human–computer interaction.

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Section: Emotional Information In the Yacis Corpusmentioning

confidence: 99%

The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions

Wang,

Isomura,

Ptaszynski

et al. 2024

Applied Sciences

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show abstract

“…After that, the Kaomoji 6 came, thus are made use of the whole ASCII 7 code but in horizontal alignment (Ptaszynski et al, 2012) (emoticons usually should be looked sideways).…”

Section: From Emoticon To Emojimentioning

confidence: 99%

Translating Polysemous Emojis into Kurdish: An Empirical Study

2023

IJSSES

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Due to the polysemous and ambiguous nature of the emojis, translators encounter difficulties in rendering them into Kurdish. This paper is an attempt to find out the nature and the frequency of the problems related to emojis and suggest more appropriate ways for dealing with them when they are translated into Kurdish. The paper takes up a descriptive-analytic approach. The data of the study is collected primarily from the 'Emoji movie' produced in 2017. The data are then categorized and analyzed thoroughly to explore the underlying factors of these problems and suggest effective strategies for translating them with minimum ambiguity. The results of this study show that polysemous emojis could be disambiguated through the context and other extralinguistic factors such as the setting and the technological background of the translators.

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Agential Dancing

Mcphie¹

2019

Mental Health and Wellbeing in the Anthropocene

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Science of Emoticons

Cited by 4 publications

References 17 publications

The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions

The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions

Translating Polysemous Emojis into Kurdish: An Empirical Study

Agential Dancing

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