arXiv:2412.17255cs.CLcs.AI2024-12被引 3

用大模型分析表情符号,实现跨语言情感识别。

Unlocking Cross-Lingual Sentiment Analysis through Emoji Interpretation: A Multimodal Generative AI Approach

  • 利用ChatGPT的多模态能力解析表情符号情感
  • 跨32国数据集测试,表情符号情感识别准确率达81.43%
  • 表情越多,情感判断越准,适合社交平台分析

表情符号在在线交流中无处不在,作为传达情感和装饰元素的通用媒介。其广泛应用跨越语言与文化障碍,提升理解力并促进更具包容性的互动。尽管已有研究深入探讨了表情符号的理解,但利用大语言模型(LLMs)挖掘表情符号作为跨语言情感指标的潜力尚未被充分探索。本研究旨在通过大语言模型考察表情符号在不同语言与文化背景下作为可靠情感标记的能力。我们利用ChatGPT的多模态能力,分析多种表情符号表达形式的情感,并在来自32个国家的多语言数据集上评估表情符号所传递情感与文本情感的一致性。结果显示,基于大语言模型的表情符号情感识别准确率为81.43%,凸显其作为通用情感指标的巨大潜力。此外,我们发现随着文本中表情符号数量增加,情感识别准确率呈上升趋势。结果支持表情符号作为全球情感指标的可行性,为社交媒体中的跨语言、跨文化情感分析提供新视角。代码已开源:https://github.com/ResponsibleAILab/emoji-universal-sentiment。

原文摘要 · Abstract (English)

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.

情感分析多模态大模型

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