论文标题

基于规则的方法在法律意见文本中基于政党的情感分析

Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts

论文作者

Rajapaksha, Isanka, Mudalige, Chanika Ruchini, Karunarathna, Dilini, de Silva, Nisansa, Ratnayaka, Gathika, Perera, Amal Shehan

论文摘要

一份详细说明与以前法院案件有关的意见和论点的文件被称为法律意见文本。在处理新法律案件时,律师和法律官员必须花费大量精力和时间从这些文件中手动获取所需的信息。因此,如果有一种方法可以自动化从法律意见文本中提取信息的过程,它为这些人提供了很大的便利。基于政党的情感分析将通过确定与法律文本中每个法律方的意见价值观来在自动化系统中发挥关键作用。

A document which elaborates opinions and arguments related to the previous court cases is known as a legal opinion text. Lawyers and legal officials have to spend considerable effort and time to obtain the required information manually from those documents when dealing with new legal cases. Hence, it provides much convenience to those individuals if there is a way to automate the process of extracting information from legal opinion texts. Party-based sentiment analysis will play a key role in the automation system by identifying opinion values with respect to each legal parties in legal texts.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源