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A Study on Implementation of Text Analytics over Legal Domain

机译:法律域文本分析的实施研究

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摘要

With the evolution of time, problem, and expectation of human beings, advancement of science and technology has facilitated scientific analysis of bulk dataset to generate desired output. This approach of bulk data analysis may be specifically implemented using Machine Learning and Data Analytics, which are the sub-domains of Artificial Intelligence ( AI). The application of this cutting-edge technology can improve the efficiency of multivariate service sectors having societal significance (like legal system, education system, public transportation, rural healthcare management, etc), which directly or indirectly affect the well-being and productivity of an individual and the society as a whole. For example, India being a developing nation suffers due to insufficient number of judges, advocates, infrastructure, etc, and for which people have to wait long time to cherish their desired justice. In this paper, authors have proposed Machine Learning and Text Analytics-based legal support system to assist judges and advocates for faster delivery of justice to citizen.
机译:随着时间的演变,问题和人类的期望,科学和技术的进步已经促进了对散装数据集的科学分析,以产生所需的产出。可以使用机器学习和数据分析具体实施这种批量数据分析方法,这些数据分析是人工智能(AI)的子域。这种尖端技术的应用可以提高具有社会意义的多元服务部门的效率(如法律制度,教育系统,公共交通,农村医疗管理等),直接或间接地影响福祉和生产力个人和整个社会。例如,由于法官,倡导者,基础设施等人数不足,以及人们必须等待珍惜所希望的正义,这是一个发展中国家遭受的痛苦。在本文中,作者提出了基于机器学习和基于文本分析的法律支持制度,以协助法官和倡导者更快地向公民提供司法。

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