Emoji as a Proxy of Emotional Communication

G. Santamaría-Bonfil, Orlando Grabiel Toledano López
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引用次数: 9

Abstract

Nowadays, emoji plays a fundamental role in human computer-mediated com-munications, allowing the latter to convey body language, objects, symbols, or ideas in text messages using Unicode standardized pictographs and logographs. Emoji allows people expressing more “ authentically ” emotions and their personalities, by increasing the semantic content of visual messages. The relationship between language, emoji, and emotions is now being studied by several disciplines such as linguistics, psychology, natural language processing (NLP), and machine learning (ML). Particularly, the last two are employed for the automatic detection of emotions and personality traits, building emoji sentiment lexicons, as well as for conveying artificial agents with the ability of expressing emotions through emoji. In this chapter, we introduce the concept of emoji and review the main challenges in using these as a proxy of language and emotions, the ML, and NLP techniques used for classification and detection of emotions using emoji, and presenting new trends for the exploitation of discovered emotional patterns for robotic emotional communication.
表情符号作为情感交流的代理
如今,表情符号在人机交互中扮演着重要的角色,允许后者使用Unicode标准化的象形文字和符号在短信中传达肢体语言、物体、符号或想法。通过增加视觉信息的语义内容,表情符号可以让人们表达更“真实”的情感和个性。语言、表情符号和情感之间的关系现在正在被语言学、心理学、自然语言处理(NLP)和机器学习(ML)等多个学科研究。其中,后两者用于情绪和人格特征的自动检测,构建表情符号情感词汇,以及通过表情符号传递具有表达情感能力的人工智能体。在本章中,我们介绍了表情符号的概念,回顾了使用表情符号作为语言和情感代理的主要挑战,使用表情符号进行情感分类和检测的ML和NLP技术,并介绍了利用已发现的情感模式进行机器人情感交流的新趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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