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We draw parallels between emoticons in textual communication and gesture in signed language with respect to the interdependence of codes by describing two contexts under which the behavior of emoticons in textual communication resembles that of gesture in speech. Generalizing from those findings, we propose that gesture is likely characterized by a nuanced interdependence with language whether signed, spoken or texted.
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http://dx.doi.org/10.1017/S0140525X15002903 | DOI Listing |
Data Brief
February 2023
Department of Computer Science, Faculty of Science and Environmental Studies, Lakehead University, Ontario, Canada.
Social media platforms have become the most prominent medium for spreading hate speech, primarily through hateful textual content. An extensive dataset containing emoticons, emojis, hashtags, slang, and contractions is required to detect hate speech on social media based on current trends. Therefore, our dataset is curated from various sources like Kaggle, GitHub, and other websites.
View Article and Find Full Text PDFPeerJ Comput Sci
August 2022
Dept. of Mechanical Engineering, Faculty of Engineering Technology, Future University in Egypt, New Cairo, Eygpt.
Sentiment analysis in research involves the processing and analysis of sentiments from textual data. The sentiment analysis for high resource languages such as English and French has been carried out effectively in the past. However, its applications are comparatively few for resource-poor languages due to a lack of textual resources.
View Article and Find Full Text PDFBehav Brain Sci
January 2017
Department of Psychology, University of California,Riverside,Riverside,CA
We draw parallels between emoticons in textual communication and gesture in signed language with respect to the interdependence of codes by describing two contexts under which the behavior of emoticons in textual communication resembles that of gesture in speech. Generalizing from those findings, we propose that gesture is likely characterized by a nuanced interdependence with language whether signed, spoken or texted.
View Article and Find Full Text PDFIntroduction: Like nonverbal cues in oral interactions, text-based emoticons, which are textual portrayals of a writer's facial expressions, are commonly used in electronic device-mediated communication. Little is known, however, about how text-based emoticons are processed in the human brain. With this study, we investigated whether the text-based emoticons are processed as face expressions using fMRI.
View Article and Find Full Text PDFQ J Exp Psychol (Hove)
November 2016
a School of Psychology , University of Nottingham, Nottingham , UK.
Most theorists agree that sarcasm serves some communicative function that would not be achieved by speaking directly, such as eliciting a particular emotional response in the recipient. One debate concerns whether this kind of language serves to enhance or mute the positive or negative nature of a message. The role of textual devices commonly used to accompany written sarcastic remarks is also unclear.
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