基于推文的表情符号对作者情绪的影响

Chengzhi Jiang, T. Kumamoto
{"title":"基于推文的表情符号对作者情绪的影响","authors":"Chengzhi Jiang, T. Kumamoto","doi":"10.5057/jjske.tjske-d-19-00020","DOIUrl":null,"url":null,"abstract":": In this paper, we investigated how readers perceive the emotions of writers based on the emoticons in their tweets, and clarified the influence of emoticons on emotions. Initially, we conducted a questionnaire and the emotions associated with tweets (with and without emoticons) and the emotions associated with the emoticons were quantified. Multiple regression analysis was then applied to three types of emotion data, and relationships among them were established in the form of regression equations. Finally, the accuracy of the regression equations was estimated for learned and unlearned data, and their effectiveness and robustness were evaluated. The following 10 types of basic emotions were utilized as targets: “Sadness,” “Dislike,” “Relief,” “Fear,” “Excitement,” “Liking,” “Joy,” “Surprise,” “Anger,” and “Shame.”","PeriodicalId":127268,"journal":{"name":"Transactions of Japan Society of Kansei Engineering","volume":"38 2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Influence of Emoticons on the Emotions of Writers based on their Tweets\",\"authors\":\"Chengzhi Jiang, T. Kumamoto\",\"doi\":\"10.5057/jjske.tjske-d-19-00020\",\"DOIUrl\":null,\"url\":null,\"abstract\":\": In this paper, we investigated how readers perceive the emotions of writers based on the emoticons in their tweets, and clarified the influence of emoticons on emotions. Initially, we conducted a questionnaire and the emotions associated with tweets (with and without emoticons) and the emotions associated with the emoticons were quantified. Multiple regression analysis was then applied to three types of emotion data, and relationships among them were established in the form of regression equations. Finally, the accuracy of the regression equations was estimated for learned and unlearned data, and their effectiveness and robustness were evaluated. The following 10 types of basic emotions were utilized as targets: “Sadness,” “Dislike,” “Relief,” “Fear,” “Excitement,” “Liking,” “Joy,” “Surprise,” “Anger,” and “Shame.”\",\"PeriodicalId\":127268,\"journal\":{\"name\":\"Transactions of Japan Society of Kansei Engineering\",\"volume\":\"38 2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Transactions of Japan Society of Kansei Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5057/jjske.tjske-d-19-00020\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transactions of Japan Society of Kansei Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5057/jjske.tjske-d-19-00020","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

:本文研究了读者如何通过作者推文中的表情符号来感知作者的情绪,并阐明了表情符号对情绪的影响。最初,我们进行了问卷调查,并量化了与tweet(带和不带表情符号)相关的情绪以及与表情符号相关的情绪。然后对三类情绪数据进行多元回归分析,并以回归方程的形式建立三者之间的关系。最后,对已学习数据和未学习数据估计了回归方程的精度,并对其有效性和鲁棒性进行了评价。以下10种基本情绪被用作目标:“悲伤”、“不喜欢”、“解脱”、“恐惧”、“兴奋”、“喜欢”、“快乐”、“惊讶”、“愤怒”和“羞耻”。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Influence of Emoticons on the Emotions of Writers based on their Tweets
: In this paper, we investigated how readers perceive the emotions of writers based on the emoticons in their tweets, and clarified the influence of emoticons on emotions. Initially, we conducted a questionnaire and the emotions associated with tweets (with and without emoticons) and the emotions associated with the emoticons were quantified. Multiple regression analysis was then applied to three types of emotion data, and relationships among them were established in the form of regression equations. Finally, the accuracy of the regression equations was estimated for learned and unlearned data, and their effectiveness and robustness were evaluated. The following 10 types of basic emotions were utilized as targets: “Sadness,” “Dislike,” “Relief,” “Fear,” “Excitement,” “Liking,” “Joy,” “Surprise,” “Anger,” and “Shame.”
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
How the Kawaii Emotion had been Expressed in Japanese Study of New Business Search Model using IP Landscape Color Index Development of Nagoya Cochin Eggshell Verification of Media and Content Contributing to Purchase Intention in the Automotive Industry Influence of Selection Process on its Result in Product Purchase
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1