更丰富的中国人性格特征词汇:利用词嵌入技术挖掘人格描述符

IF 1.6 2区 文学 Q1 LINGUISTICS
Yigang Ding, Feijun Zheng, Linjie Xu, Xinru Yang, Yiyun Jia
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引用次数: 0

摘要

本研究采用数据驱动的方法,挖掘中国社会背景下中国人的人格特质分布。基于人格词典学的假设,在机器学习中采用词嵌入技术,从腾讯词嵌入数据库中挖掘人格词汇。通过高斯混合模型聚类和层次聚类分析,提取了超过 10,000 个中文人格描述符。数据通过在线问卷调查的方式,从全国各地随机收集了 658 名中国人。研究结果揭示了中国人的六种人格特质,扩充了人格词库,并举例说明了每种特质。研究结果与之前关于五因素模型的研究结果不谋而合,五因素模型部分描述了中国人的人格特质,但并不能完整解释中国人的典型社会行为模式。此外,本研究还支持人格特质的文化特殊性这一概念。与传统的人格挖掘方法相比,本研究采用的方法提供了更丰富的人格词汇,词汇嵌入技术捕捉到了更丰富的中文语义信息。本研究确定的六种中国人人格特质还将用于探索如何基于词嵌入和人格描述符对人格特质进行量化和评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Richer Vocabulary of Chinese Personality Traits: Leveraging Word Embedding Technology for Mining Personality Descriptors.

This study uses a data-driven approach to mine the distribution of personality traits among Chinese people in the Chinese social context. Based on the hypothesis of personality lexicology, word embedding technology was employed in machine learning to mine personality vocabulary from Tencent's word embedding database. More than 10,000 Chinese personality descriptors were extracted and analyzed using Gaussian Mixture Model Cluster and Hierarchical clustering analysis. The data was collected from 658 Chinese people randomly from all parts of China through an online questionnaire method. The results reveal six personality traits in the Chinese context, expanding the personality thesaurus and providing examples to illustrate each trait. The findings coincide with previous research on the five-factor model, which partially describes the personality traits of Chinese people, but does not offer a complete explanation of their typical social behavior patterns. Additionally, the study supports the notion of cultural particularity in personality traits. The approach used in this study offers a richer personality vocabulary than traditional personality mining methods, and word embedding technology captures richer semantic information in Chinese. The six Chinese personality traits identified in this study will also be used to explore how to quantify and evaluate personality traits based on word embedding and personality descriptors.

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来源期刊
CiteScore
3.00
自引率
5.00%
发文量
92
期刊介绍: Journal of Psycholinguistic Research publishes carefully selected papers from the several disciplines engaged in psycholinguistic research, providing a single, recognized medium for communications among linguists, psychologists, biologists, sociologists, and others. The journal covers a broad range of approaches to the study of the communicative process, including: the social and anthropological bases of communication; development of speech and language; semantics (problems in linguistic meaning); and biological foundations. Papers dealing with the psychopathology of language and cognition, and the neuropsychology of language and cognition, are also included.
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