Within a digital corpus of 20 Italian post-unification conduct books (1860 to 1900), UAM CorpusTool is used to perform a manual annotation of 13 emotive rhetorical figures as indices of “shown” emotion (emotion montree, Micheli 2014). The analysis consists in two text mining tasks: classification, which identifies emotive figures using the 13 categories, and clustering, which identifies groups, i.e. clusters where emotive figures co-occur. Emotive clusters mainly discuss diligence and parsimony—personal values linked to self-improvement for which reader agreement is not taken for granted. In this corpus they function as “moving” values, that is, values acting recurrently as contexts for “argued” emotion (emotion etayee, Micheli 2014).

中文翻译：

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在意大利统一后的行为书籍（1860-1900）中将情感人物作为“表现”情感

在 20 份意大利统一后行为书籍（1860 年至 1900 年）的数字语料库中，UAM CorpusTool 用于对 13 个情绪修辞人物进行手动注释，作为“表现”情绪的索引（emotion montree, Micheli 2014）。分析包括两个文本挖掘任务：分类，使用 13 个类别识别情绪人物，以及聚类，识别组，即情绪人物共同出现的集群。情绪集群主要讨论勤奋和节俭——与自我提升相关的个人价值观，读者对此并不认为是理所当然的。在这个语料库中，它们起到“移动”价值的作用，也就是说，价值作为“争论”情绪的上下文反复出现（emotion etayee，Micheli 2014）。