通过表情符号解读解锁跨语言情感分析：一种多模态生成式AI方法
Unlocking Cross-Lingual Sentiment Analysis through Emoji Interpretation: A Multimodal Generative AI Approach
AI总结：
本研究利用ChatGPT的多模态能力，在32个国家的多语言数据集上验证了表情符号作为跨语言通用情感标记的可靠性，发现基于LLM的表情符号情感准确率达81.43%，且随表情符号数量增加而提升。
摘要：
表情符号已成为在线交流中无处不在的元素，作为传达情感和装饰元素的通用媒介。它们的广泛使用超越了语言和文化障碍，增强了理解并促进了更具包容性的互动。尽管现有工作对表情符号的理解获得了宝贵见解，但利用大型语言模型（LLMs）探索表情符号作为通用情感指标的能力尚未得到彻底研究。我们的研究旨在调查表情符号通过LLMs在不同语言和文化中作为可靠情感标记的能力。我们利用ChatGPT的多模态能力来探索表情符号各种表示形式的情感，并在从32个国家收集的多语言数据集上评估了表情符号传达的情感与文本情感的一致程度。我们的分析表明，基于LLM的表情符号传达情感的准确率为81.43%，凸显了表情符号作为通用情感标记的巨大潜力。我们还发现了一个一致的趋势：随着文本中表情符号数量的增加，表情符号传达情感的准确性也随之提高。研究结果进一步证实了表情符号作为全球情感指标的潜力，为社交媒体平台上的跨语言和跨文化情感分析等领域提供了见解。代码：https://github.com/ResponsibleAILab/emoji-universal-sentiment。
英文摘要：
Emojis have become ubiquitous in online communication, serving as a universal medium to convey emotions and decorative elements. Their widespread use transcends language and cultural barriers, enhancing understanding and fostering more inclusive interactions. While existing work gained valuable insight into emojis understanding, exploring emojis' capability to serve as a universal sentiment indicator leveraging large language models (LLMs) has not been thoroughly examined. Our study aims to investigate the capacity of emojis to serve as reliable sentiment markers through LLMs across languages and cultures. We leveraged the multimodal capabilities of ChatGPT to explore the sentiments of various representations of emojis and evaluated how well emoji-conveyed sentiment aligned with text sentiment on a multi-lingual dataset collected from 32 countries. Our analysis reveals that the accuracy of LLM-based emoji-conveyed sentiment is 81.43%, underscoring emojis' significant potential to serve as a universal sentiment marker. We also found a consistent trend that the accuracy of sentiment conveyed by emojis increased as the number of emojis grew in text. The results reinforce the potential of emojis to serve as global sentiment indicators, offering insight into fields such as cross-lingual and cross-cultural sentiment analysis on social media platforms. Code: https://github.com/ResponsibleAILab/emoji-universal-sentiment.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
