Expressing attitude or stance toward entities and concepts is an integral part of human behavior and personality. Recently, evaluative language data has become more accessible with social media's rapid growth, enabling large-scale opinion analysis. However, surprisingly little research examines the relationship between personality and evaluative language. To bridge this gap, we introduce the notion of evaluative topics, obtained by applying topic models to pre-filtered evaluative text from social media. We then link evaluative topics to individual text authors to build their evaluative profiles. We apply evaluative profiling to Reddit comments labeled with personality scores and conduct an exploratory study on the relationship between evaluative topics and Big Five personality facets, aiming for a more interpretable, facet-level analysis. Finally, we validate our approach by observing correlations consistent with prior research in personality psychology.

翻译：摘要：对实体和概念表达态度或立场是人类行为与人格的核心组成部分。近年来，随着社交媒体的迅猛发展，评价性语言数据的可获取性显著提升，从而推动了大规模观点分析的研究。然而，针对人格与评价性语言之间关联性的研究却出人意料地匮乏。为填补这一空白，我们提出了“评价主题”的概念，通过将主题模型应用于社交媒体的预过滤评价性文本中加以获取。随后，我们将评价主题与个体文本作者进行关联，构建其评价轮廓。我们将评价轮廓方法应用于标注了人格分数的Reddit评论数据，开展了一项关于评价主题与大五人格特质之间关系的探索性研究，旨在实现更具可解释性的人格特质层面分析。最后，通过观察与人格心理学先前研究一致的关联模式，验证了本方法的有效性。