用词义关联网络验证情绪轮模型的有效性
Investigating the structure of emotions by analyzing similarity and association of emotion words
- 构建情绪词的相似性与关联性网络
- 网络结构整体接近普拉切克情绪轮，局部存在差异
- 为情绪模型提供实证支持，适合心理学与NLP研究者
在自然语言处理领域，一些研究通过将情绪作为解释或响应变量进行情感分析。其中最常用的模型是普拉切克提出的情绪轮，该模型以圆形结构表示人类情绪，呈现二维或三维形式。然而，普拉切克情绪轮的有效性尚未得到充分检验。本研究通过构建并分析情绪词的语义网络，检验其有效性。实验中收集了有序情绪词对之间的相似性与关联性数据，并据此构建网络。通过社区检测分析网络结构，与情绪轮模型进行对比。结果显示，各网络结构总体上与情绪轮相似，但局部存在差异。
原文摘要 · Abstract (English)
In the field of natural language processing, some studies have attempted sentiment analysis on text by handling emotions as explanatory or response variables. One of the most popular emotion models used in this context is the wheel of emotion proposed by Plutchik. This model schematizes human emotions in a circular structure, and represents them in two or three dimensions. However, the validity of Plutchik's wheel of emotion has not been sufficiently examined. This study investigated the validity of the wheel by creating and analyzing a semantic networks of emotion words. Through our experiments, we collected data of similarity and association of ordered pairs of emotion words, and constructed networks using these data. We then analyzed the structure of the networks through community detection, and compared it with that of the wheel of emotion. The results showed that each network's structure was, for the most part, similar to that of the wheel of emotion, but locally different.
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