Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts
Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna,, Nisansa de Silva, Gathika Ratnayaka, and Amal Shehan Perera
TL;DR
This paper presents a rule-based method for party-based sentiment analysis in legal opinion texts, aiming to automate the extraction of opinions related to different legal parties to assist legal professionals.
Contribution
It introduces a novel rule-based approach specifically designed for party-based sentiment analysis within legal opinion documents.
Findings
Effective identification of party opinions demonstrated
Reduces manual effort in legal information extraction
Improves automation in legal document analysis
Abstract
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.
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