The focus of this paper is to discuss the semiotic aspects of our findings from a project we conducted in the frame of Emotional Text Analysis paradigm. In the project, we intended to create a computer text classifier capable of effectively classifying texts into emotional categories. We agreed that we would need discrete data samples to input into it. For this, we asked 178 informants to give a verdict on the dominant emotion of 48 sample texts. Prior to their assessment of the texts, the informants responded to a questionnaire used to estimate their empathic tendency. A detailed analysis of the informants’ assessments and personal empathetic tendency scores showed a positive correlation. Subsequently, our interest was piqued by the issue of how emotions could be triggered by conventional signs (words). Our findings seem to suggest that words are only used as an expression form insofar as they embody another type of semiotic complexity, thus diverging from the traditional Pearcian triad. In order to develop on these findings, it is therefore the main objective of this paper to provide a biosemiotic model of representation/interpretation of emotions, with particular attention paid to the eliciting of emotions as sign types. In this endeavour, we draw upon K. Kull’s concept of emonic semiotic model realization. Our suggestion is that, when one processes a text that elicits an emotional response, two semiotic facets are relevant: indexicality and emonicity. We argue that it is a main empathetic function to enforce the emonic model of semiosis over the indexical in situations where the interpreter has a choice between the two. As such, the hypothesis of the study is that emotions facilitate a particular type of semiotic mechanism, relying on the mimesis principle.

本文的重点是讨论我们在情感文本分析范式框架内进行的项目中发现的符号学方面。在该项目中，我们打算创建一个能够有效地将文本分类为情感类别的计算机文本分类器。我们同意我们需要离散数据样本来输入它。为此，我们要求 178 名知情人对 48 份样本文本的主导情绪做出判断。在他们对文本进行评估之前，被调查者回答了一份用来估计他们共情倾向的问卷。对被调查者的评估和个人共情倾向得分的详细分析显示出正相关。随后，我们的兴趣被传统符号（词）如何触发情绪的问题激起。我们的研究结果似乎表明，单词仅被用作表达形式，因为它们体现了另一种符号学的复杂性，从而与传统的皮尔斯三合会有所不同。为了进一步研究这些发现，因此本文的主要目标是提供一种表达/解释情绪的生物符号学模型，特别关注情绪作为符号类型的引出。在这一努力中，我们借鉴了 K. Kull 的符号符号模型实现概念。我们的建议是，当人们处理引起情绪反应的文本时，两个符号学方面是相关的：索引性和符号性。我们认为，在解释者可以在两者之间进行选择的情况下，将符号学的符号模型强加于索引符号是一种主要的移情功能。因此，