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利用语义相似性来理解与亲社会性相关的心理结构。

Using semantic similarity to understand the psychological constructs related to prosociality.

机构信息

Department of Social Psychology, Tilburg University, the Netherlands.

Department of Psychological Methods, University of Amsterdam, the Netherlands.

出版信息

Curr Opin Psychol. 2022 Apr;44:226-230. doi: 10.1016/j.copsyc.2021.09.019. Epub 2021 Oct 2.

DOI:10.1016/j.copsyc.2021.09.019
PMID:34749239
Abstract

Prosociality (measured with economic games) is correlated with individual differences in psychological constructs (measured with self-report scales). We review how methods from natural language processing, a subfield of computer science focused on processing natural text, can be applied to understand the semantic content of scales measuring psychological constructs correlated with prosociality. Methods for clustering language and assessing similarity between text documents can be used to assess the novelty (or redundancy) of new scales, to understand the overlap among different psychological constructs, and to compare different measures of the same construct. These examples illustrate how natural language processing methods can augment traditional survey- and game-based approaches to studying individual differences in prosociality.

摘要

亲社会行为(通过经济博弈衡量)与个体心理结构差异(通过自我报告量表衡量)相关。我们回顾了自然语言处理(计算机科学的一个分支,专注于处理自然文本)中的方法如何应用于理解与亲社会行为相关的心理结构量表的语义内容。用于聚类语言和评估文本文件之间相似性的方法可用于评估新量表的新颖性(或冗余性),了解不同心理结构之间的重叠,并比较同一结构的不同测量方法。这些示例说明了自然语言处理方法如何增强传统的基于调查和基于游戏的方法,以研究亲社会行为的个体差异。

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