当前位置: X-MOL 学术Soc. Sci. Comput. Rev. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Using Artificial Intelligence to Predict Decisions of the Turkish Constitutional Court
Social Science Computer Review ( IF 4.1 ) Pub Date : 2021-05-03 , DOI: 10.1177/08944393211010398
Mehmet Fatih Sert 1 , Engin Yıldırım 2 , İrfan Haşlak 3
Affiliation  

This article draws on an artificial intelligence (AI) technique to predict whether an individual application regarding the Turkish Constitutional Court's public morality and freedom of expression cases leding to a “violation” or a “nonviolation” decision. To this end, four different data sets have been composed, preclassification and fundamental word embeddings steps have been made on each data set. Multilayer perceptron, which is based on artificial neural networks, has been used for the prediction of the case decisions. We have predicted the court’s decisions on these cases with the high success rates (average accuracy of 90%) by using the subject or reasoning sections of texts of the cases as data. The subject section of the cases constituting only a very small part of the data has yielded the highest accuracy. The article has demonstrated that a basic AI technique can be successful in achieving accurate predictions even with relatively small data sets derived from well-structured court rulings.



中文翻译:

利用人工智能预测土耳其宪法法院的判决

本文利用人工智能(AI)技术来预测有关土耳其宪法法院公共道德和言论自由案件的个人申请是否会导致“违反”或“非违反”的决定。为此,已经组成了四个不同的数据集,在每个数据集上进行了预分类和基本词嵌入步骤。基于人工神经网络的多层感知器已用于案例决策的预测。通过使用案件文本的主题或推理部分作为数据,我们已经以很高的成功率(平均准确度为90%)预测了法院对这些案件的判决。案件的主题部分仅构成数据的一小部分,因此准确性最高。

更新日期:2021-05-03
down
wechat
bug