论文标题
预测和分析肯尼亚的立法
Predicting and Analyzing Law-Making in Kenya
论文作者
论文摘要
近年来，对议会立法，滚动票票和诉讼令进行建模和分析。在本文中，我们专注于理解不断发展的民主国家肯尼亚双层议会中提出的法案。我们开发了经过培训的机器学习模型，结合了从账单中提取的功能来预测结果 - 是否制定账单。我们观察到，法案中的文本不如介绍法案的年度和月份那么重要，并且该法案所属的类别。
Modelling and analyzing parliamentary legislation, roll-call votes and order of proceedings in developed countries has received significant attention in recent years. In this paper, we focused on understanding the bills introduced in a developing democracy, the Kenyan bicameral parliament. We developed and trained machine learning models on a combination of features extracted from the bills to predict the outcome - if a bill will be enacted or not. We observed that the texts in a bill are not as relevant as the year and month the bill was introduced and the category the bill belongs to.
