Abstract: Legal judgment prediction refers to the method by which machines predict the crimes of a legal case based on the description of the facts of the case. It is a promising application of artificial intelligence technology in the legal field. With the rapid development of the field of artificial intelligence, the application of related technologies in the legal field has become more and more extensive, and many classic models have achieved good results in the prediction of legal judgments. Although the effect of machine learning methods is good, it has been unable to solve the problem of interpretation and reasoning of the prediction results. The prediction results have black-box characteristics, and the supporting basis for the conclusion cannot be obtained. In response to the above problems, this article proposes an analysis method of influencing factors of legal judgment prediction, which combines Chinese word segmentation technology, support vector machine technology (Support Vector Machine, SVM) and unified interpretation and prediction framework (SHapley Additive exPlanations, SHAP) to achieve intelligent prediction of judgment results of legal cases, scientific analysis of the influencing factors of the prediction results, and key factors that have a greater impact on the prediction results, providing a supporting basis for the prediction results.

Key words: legal judgment prediction, analysis of influencing factors, SVM, SHAP