Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts
This work addresses the need for automation in legal document analysis, but it appears incremental as it applies a rule-based method to a specific domain without claiming major breakthroughs.
The paper tackles the problem of manually extracting information from legal opinion texts by proposing a rule-based approach for party-based sentiment analysis, aiming to automate the identification of opinion values for each legal party to save time and effort for lawyers and legal officials.
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.