Abstract
This research explores the interdisciplinary interaction between psychoanalysis and computer science, suggesting a mutually beneficial exchange. Indeed, psychoanalytic concepts can enrich technological applications involving unconscious, elusive aspects of the human factor, such as social media and other interactive digital platforms. Conversely, computer science, especially Artificial Intelligence (AI), can contribute quantitative concepts and methods to psychoanalysis, identifying patterns and emotional cues in human expression. In particular, this research aims to apply computer science methods to establish fundamental relationships between emotions and Lacanian discourses. Such relations are discovered in our approach via empirical investigation and statistical analysis, and are eventually validated in a theoretical (psychoanalytic) way. It is worth noting that, although emotions have been sporadically studied in Lacanian theory, to the best of our knowledge a systematic, detailed investigation of their role is missing. Such fine-grained understanding of the role of emotions can also make the identification of Lacanian discourses more effective and easy in practise. In particular, our methods indicate the emotions with highest differentiation power in terms of corresponding discourses; conversely, we identify for each discourse the most characteristic emotions it admits. As a matter of fact, we develop a method which we call Lacanian Discourse Discovery (LDD), that simplifies (via systematizing) the identification of Lacanian discourses in texts. Although the main contribution of this paper is inherently theoretical (psychoanalytic), it can also facilitate major practical applications in the realm of interactive digital systems. Indeed, our approach can be automated through Artificial Intelligence methods that effectively identify emotions (and corresponding discourses) in texts.
Abstract (translated)
这项研究探索了精神分析与计算机科学之间的跨学科互动，提出了双方互利的交流。事实上，精神分析的概念可以丰富涉及人类因素中潜意识和难以捉摸方面的技术应用，如社交媒体和其他交互式数字平台。相反，计算机科学，特别是人工智能（AI），可以通过定量概念和方法为精神分析做出贡献，在人类表达中识别模式和情感线索。具体而言，本研究旨在运用计算机科学的方法来建立情感与拉康话语之间的基本关系。这种关系通过实证调查和统计分析发现，并最终在理论上（心理分析角度）得到验证。值得注意的是，尽管情感已在拉康理论中有零星的研究，但据我们所知，对其作用的系统、详细研究尚不存在。对情感角色进行如此细致的理解也可以使拉康话语的实际识别更加有效和简单。特别是，我们的方法指出了对应话语中区分力最强的情感；相反，我们确定了每个话语允许的最具特征的情感。实际上，我们开发了一种称为“拉康话语发现”（LDD）的方法，该方法通过系统化简化了文本中拉康话语的识别。尽管本文的主要贡献本质上是理论性的（心理分析角度），但也能促进互动式数字系统领域的重要实际应用。确实，我们的方法可以通过有效识别文本中的情感（以及相应的话语）的人工智能方法实现自动化。
URL
https://arxiv.org/abs/2410.22895
