Application of integrated gradients explainability to sociopsychological semantic markers
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Computer Science > Computation and Language
arXiv:2503.04989 (cs)
[Submitted on 6 Mar 2025 (v1), last revised 16 Jun 2026 (this version, v2)]
Title:Application of integrated gradients explainability to sociopsychological semantic markers
Authors:Ali Aghababaei, Jan Nikadon, Magdalena Formanowicz, Maria Laura Bettinsoli, Carmen Cervone, Caterina Suitner, Tomaso Erseghe
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Abstract:Classification of textual data in terms of sentiment, or more nuanced sociopsychological markers (e.g., agency), is now a popular approach commonly applied at the sentence level. In this paper, we exploit the integrated gradient (IG) method to capture the classification output at the word level, revealing which words actually contribute to the classification process. This approach improves explainability and provides in-depth insights into the text. We focus on sociopsychological markers beyond sentiment and investigate how to effectively train IG in agency, one of the very few markers for which a verified deep learning classifier, BERTAgent, is currently available. Performance and system parameters are carefully tested, alternatives to the IG approach are evaluated, and the usefulness of the result is verified in a relevant application scenario. The method is also applied in a scenario where only a small labeled dataset is available, with the aim of exploiting IG to identify the salient words that contribute to building the different classes that relate to relevant sociopsychological markers. To achieve this, an uncommon training procedure that encourages overfitting is employed to enhance the distinctiveness of each class. The results are analyzed through the lens of social psychology, offering valuable insights.
| Comments: | Submitted to IEEE Trans. on Computational Social Systems |
| Subjects: | Computation and Language (cs.CL) |
| Cite as: | arXiv:2503.04989 [cs.CL] |
| (or arXiv:2503.04989v2 [cs.CL] for this version) | |
| https://doi.org/10.48550/arXiv.2503.04989
arXiv-issued DOI via DataCite
|
Submission history
From: Tomaso Erseghe [view email][v1] Thu, 6 Mar 2025 21:35:24 UTC (555 KB)
[v2] Tue, 16 Jun 2026 20:44:40 UTC (566 KB)
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View a PDF of the paper titled Application of integrated gradients explainability to sociopsychological semantic markers, by Ali Aghababaei and 6 other authors
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