不貞行為に関する民事訴訟における慰謝料額関連特徴の分析

小川 椋平; 鈴木 仁志; 深澤 佑介

doi:10.11517/pjsai.JSAI2025.0_1D5OS24c01

39th (2025)

Session ID : 1D5-OS-24c-01

DOI https://doi.org/10.11517/pjsai.JSAI2025.0_1D5OS24c01

Conference information

Host: The Japanese Society for Artificial Intelligence

Name : The 39th Annual Conference of the Japanese Society for Artificial Intelligence

Number : 39

Location : [in Japanese]

Date : May 27, 2025 - May 30, 2025

Analysis of Features Related to Compensation Amounts in Civil Litigation for Marital Infidelity

*Ryohei OGAWA, Hitoshi SUZUKI, Yusuke FUKAZAWA

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Keywords: civil law, compensation amount, machine learning, SHAP analysis, marital infidelity

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

This study constructed a classification model for compensation amounts in civil litigation involving marital infidelity using machine learning. Features were designed based on prior knowledge and extracted from legal case documents using generative AI. SHAP analysis revealed that factors such as the duration of marriage, period of infidelity, and presence of children significantly related to the compensation amounts.

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