语言中的情感情感词类型和情感价位交互预测情感分类任务中的汉语情感词加工

IF 1.5 3区 文学 Q2 EDUCATION & EDUCATIONAL RESEARCH
Xiaolan Gu, Shifa Chen
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引用次数: 0

摘要

本研究考察了情感词类型和情绪对情感词识别的预测效应,并通过情感分类任务探讨了它们对情感效应的影响。结果表明,情感词类型和情绪对情感词识别有影响。情绪标签词的反应速度和正确率(ACC)均高于情绪词,而积极词的反应速度和正确率均低于消极词。积极情绪标签词和消极情绪词比消极情绪标签词和积极情绪词引起更高的ACC。此外,研究结果还揭示了情感词类型和情绪对情感效应的调节作用。在反应时间上,情绪标签词和积极词比情绪词和消极词表现出更大的情绪效应,而在ACC上,只有情绪词和积极情绪标签词表现出情绪效应。这些发现证实了情绪概念中介说、密度假说和自动警觉假说。基于这些发现,我们提出了情绪认知账户来解释互动结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Emotion in language: Emotion word type and valence interactively predicted Chinese emotional word processing in emotion categorization task

The present study examined the predicted effects of emotion word type and valence on emotional word recognition and explored their influence on emotion effects through an emotion categorization task. The results showed the influence of emotion word type and valence on emotional words recognition. Emotion-label words exhibited faster response and higher accuracy rates (ACC) than emotion-laden words, and positive words evoked faster response and lower ACC than negative words. Positive emotion-label words and negative emotion-laden words evoked higher ACC than negative emotion-label words and positive emotion-laden words. Besides, the findings revealed the modulation of emotion word type and valence on the emotion effects. Emotion-label words and positive words displayed larger emotion effects than emotion-laden words and negative words in reaction time, and only emotion-laden words and positive emotion-label words showed emotion effects in ACC. These findings endorsed the mediated emotion concept account, density hypothesis, and automatic vigilance hypothesis. Based on the findings, we proposed a valence cognition account to explain the interactive results.

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来源期刊
CiteScore
3.30
自引率
0.00%
发文量
40
期刊介绍: The International Journal of Applied Linguistics (InJAL) publishes articles that explore the relationship between expertise in linguistics, broadly defined, and the everyday experience of language. Its scope is international in that it welcomes articles which show explicitly how local issues of language use or learning exemplify more global concerns.
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