题目用潜在狄利克雷分配模拟最高法院案件判决

2022 13th International Conference on Information and Communication Technology Convergence (ICTC) Pub Date : 2022-10-19 DOI:10.1109/ICTC55196.2022.9952945

Bermylle John U. Razon, Geoffrey A. Solano, Lorenz Timothy B. Ranera

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引用次数: 0

摘要

从菲律宾最高法院的大量案件判决中提取主要主题可能是耗时和密集的。此外，无需细读就能自动找到相关主题，可以帮助法律研究者、法律从业者和历史学家研究和分析高等法院的司法行为。本研究生成的6个主题模型表明，通过修正主题入侵实验确定案例决策的主导主题的平均得分为86.67%。

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Topic Modelling Supreme Court Case Decisions using Latent Dirichlet Allocation

Extracting dominant topics from a bulk amount of Philippine Supreme Court case decisions can be time consuming and intensive. Furthermore, being able to find relevant topics automatically without close reading can aid legal researchers, law practitioners, and historians in studying and analyzing judicial behaviors of the high court. The six topic models generated in this study shows to have an average score of 86.67% in determining the dominant topic of case decisions via modified topic intrusion experiment.

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2022 13th International Conference on Information and Communication Technology Convergence (ICTC)

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