Abstract
Existing analysis of judicial data is mainly based on traditional statistical charts, and can not better relate to the internal information of judicial document nor satisfy the requirement of judicial data analysis. A visual analysis approach is proposed to analyze the judicial judgment document data by interactively presenting the evolution of judicial data. First, the approach consists of a hierarchical structure based evolution view to analyze the overall changes of judicial judgment document data. Second, the approach combines matrix view, word network view, topic clustering graph, and word cloud to carry out a refined analysis of internal multiple information. The triplet information of the case is further extracted and the key entities are visualized with constraint layout to help locate and grasp the contents of the case quickly. Based on a large-scale judicial judgment documents, case analysis is conducted on the evolution of case dispute types and the internal relations of the case, and quantitative user research and evaluation for multiple view tasks combined with the scoring method are carried out. The average score of all questions is larger than 3.5, which provides a potential solution for the subsequent visual analysis of judicial document data.
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