COGNITIVE STRUCTURE AND CONCEPTUAL CLUSTERS OF EMOTION TERMS

P. Wilson, Barbara - Lewandowska-Tomaszczyk
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引用次数: 3

Abstract

The major underlying principle of the present paper is that, in opposition to the viewpoint of emotions as discrete entities, emotions are represented as clusters in conceptual space. The graded structure and fuzzy boundaries inherent in the prototype-periphery nature of these clusters dictate that the meaning of a specific emotion is governed by both inter- and intra-cluster relationships and their interactions. In addition to these relationships and interactions the paper examines both external and internal affects to compare and contrast the FEAR , COMPASSION , LOVE / JOY , and PRIDE clusters in British English and Polish. The three specific methods employed to analyze these are the GRID instrument, an online emotions sorting task, and a corpus-based cognitive linguistic methodology. each other. There is no one correct way to sort the emotions — make as few or as many categories as you wish and put as few or as many emotions in each group as you see fit. This study requires careful thought and you therefore need to carefully think about which category each emotion belongs rather than just quickly putting emotions in categories without much thought.
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情感术语的认知结构与概念簇
本文的主要基本原理是,与情绪作为离散实体的观点相反,情绪在概念空间中被表示为集群。这些集群的原型外围性质所固有的分级结构和模糊边界表明,特定情绪的含义由集群间和集群内的关系及其相互作用决定。除了这些关系和互动之外,本文还考察了外部和内部影响,以比较和对比英国英语和波兰语中的恐惧、顺从、爱/快乐和骄傲集群。用于分析这些问题的三种具体方法是GRID工具、在线情绪排序任务和基于语料库的认知语言学方法。彼此没有一种正确的方法可以对情绪进行分类——根据你的意愿,尽可能少地或尽可能多地进行分类,并根据你认为合适的情况,将尽可能少的或尽可能多的情绪放入每组中。这项研究需要仔细思考,因此你需要仔细思考每种情绪属于哪一类,而不是不假思索地快速将情绪分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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发文量
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审稿时长
5 weeks
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