Affect Analysis in Context of Characters of Narratives
Affect Analysis in Context of Characters of Narratives
复制标题
叙事人物语境中的情感分析
DOI：
10.1016/j.eswa.2012.07.025
复制
发表时间：
2013
影响因子：
8.5
通讯作者：
Kenji Araki and Yoshio Momouchi
中科院分区：
文献类型：
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作者：
Michal Ptaszynski;Hiroaki Dokoshi;Satoshi Oyama;Rafal Rzepka;Masahito Kurihara;Kenji Araki and Yoshio Momouchi
本文介绍了我们的研究在文本为基础的叙事情感分析（AA）。AA代表了一个任务，估计或识别情绪引起的某种符号模态。在基于语篇的自动分析中，情态是语言的语篇表征。在这项研究中，我们特别研究了一种类型的语言实现，即叙事（例如，故事、童话等）。在叙事的语境中进行情感分析是一项具有挑战性的任务，因为叙事是由不同类型的句子（描述、对话等）组成的。此外，不同的人物在叙事的不同部分成为不同情感表达的主体。在这项研究中，我们解决的问题，人/字符相关的影响识别的叙事。本文提出了一种基于照应表达式分析的句子情感主语提取方法，并对两种情感分析方法进行了比较。我们评估该系统，并讨论其未来可能的改进。
This paper presents our research in text-based affect analysis (AA) of narratives. AA represents a task of estimating or recognizing emotions elicited by a certain semiotic modality. In text-based AA the modality in focus is the textual representation of language. In this research we study particularly one type of language realization, namely narratives (e.g., stories, fairy tales, etc.). Affect analysis within the context of narratives is a challenging task because narratives are created of different kinds of sentences (descriptions, dialogs, etc.). Moreover, different characters become subjects of different emotional expressions in different parts of narratives. In this research we address the problem of person/character related affect recognition in narratives. We propose a method for emotion subject extraction from a sentence based on analysis of anaphoric expressions and compare two methods for affect analysis. We evaluate the system and discuss its possible future improvements.