表情符号的多维词典：一种评估表情符号情感内容的新工具。
The Multidimensional Lexicon of Emojis: A New Tool to Assess the Emotional Content of Emojis.
作者信息
Godard Rebecca, Holtzman Susan
机构信息
Department of Psychology, University of British Columbia, Kelowna, BC, Canada.
出版信息
Front Psychol. 2022 Jun 10;13:921388. doi: 10.3389/fpsyg.2022.921388. eCollection 2022.
Emerging studies suggest that emojis can make important contributions to the emotional content and meaning of digital messages. Yet researchers currently lack adequate tools to incorporate emojis into their analyses. To address this gap, we used over 3 million Twitter posts from a period of 17 months and emotion ratings provided by 2,230 human raters to develop and validate the Multidimensional Lexicon of Emojis (MLE). This new lexicon consists of 359 common emojis rated on ten emotion and sentiment dimensions. The MLE is an open-access tool that holds promise for those interested in conducting a comprehensive analysis of the emotional content of digital communication that incorporates emojis and goes beyond the dimensions of negativity and positivity.
新兴研究表明，表情符号可为数字信息的情感内容和意义做出重要贡献。然而，研究人员目前缺乏将表情符号纳入其分析的适当工具。为了弥补这一差距，我们使用了17个月期间超过300万条推特帖子以及2230名人类评分者提供的情感评分，来开发和验证表情符号多维词典（MLE）。这个新词典由359个常见表情符号组成，这些表情符号在十个情感和情绪维度上进行了评分。MLE是一个开放获取的工具，对于那些有兴趣对包含表情符号且超越消极和积极维度的数字通信情感内容进行全面分析的人来说具有前景。
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