A Study of the Consistency of Judicial Decisions Based on Text Mining: Using Corpuses from Rulings on Applications for Suspension of Detention
Date Issued
2015
Date
2015
Author(s)
Chen, Jheng-Yu
Abstract
In recent years, the atmosphere about freedom of speech is much opener in Taiwan. Moreover, the development of Internet and social media pushes many comments about judicial decisions. With the development of information technology, there is a field called “AI and Law” so that we can solve various problems about law, for example, more objective judicial decisions. In general, we need to collect the history texts and to arrange, to analyze and to train them by the process of text mining before we apply AI field to judicial decisions. The whole process lets us get a decision model so that we can after put new cases to it, and get some useful results directly. However, if the consistency about these history texts on writing is not enough, the quality of the decision model will be affected indirectly, and the hope helping judges to make judicial decisions more efficiently and fairly will not come true. In this study, we analyzed corpuses from rulings on applications for suspension of detention by using text mining, and tried to find factors of the consistency on writing, and the association between the factors we found and the decisions made by judges. In the result, we found 8 neutral factors about the consistency on writing, and found the association between the 8 factors and the decisions made by judges. Therefore, we realized that we need to improve the consistency on writing in practice before we can use information technology to enhance the objectivity of judicial decisions.
Subjects
AI and Law
Text Mining
Discrimination-aware Data Mining
Applications for Suspension of Detention
Quality of Judicial Judgement
SDGs
Type
thesis
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ntu-104-R02725003-1.pdf
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