用大型语言模型对表演艺术在线反应的情感分析
Baekryun Seong1, Kyungwoo Song2
1Department of Artificial Intelligence, University of Seoul, South Korea.
Heliyon
|December 11, 2023
概括
本研究将情感分析应用于使用韩国语言模型对表演艺术的评价. 它揭示了调整现有方法以捕捉超出简单的积极或消极反的细微观众反应的挑战.
科学领域:
- 自然语言处理自然语言处理.
- 计算语言学 计算语言学
- 表演艺术研究 表演艺术研究
背景情况:
- 论挖掘和情绪分析是分析在线意见的既定技术,主要应用于电影评论等领域.
- 情感分析模型已经在自然语言处理 (NLP) 方面取得了进展,但它们在表演艺术中的应用仍未得到充分探索.
- 表演艺术产生丰富的观众反,需要专门的情感分析方法.
研究的目的:
- 将情感分析技术适应和应用到表演艺术领域.
- 调查观众对表演艺术的反应和在线社区中表达的意见.
- 识别当前情绪分析模型在应用到表演艺术数据时的局限性.
主要方法:
- 利用韩国道变压器语言模型进行情感分析.
- 分析了与表演艺术相关的在线社区讨论和评论.
- 专注于从简单的积极/消极分类之外提取细微的意见.
主要成果:
- 韩国道变压器展示了在表演艺术背景下分析情绪的能力.
- 分析揭示了观众反应中的复杂性,传统的情绪分析很难捕捉到.
- 在将现有的情感分析框架应用于表演艺术方面,确定了具体的挑战.
结论:
- 情感分析可以应用于表演艺术,但需要量身定制的方法.
- 现有的NLP模型可能需要调整,以充分理解关于表演艺术的各种意见.
- 需要进一步的研究来完善情感分析以获得微妙的文化和艺术反.
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