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

November 11, 2020 ยท Declared Dead ยท ๐Ÿ› International Conference on Advances in ICT for Emerging Regions

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Authors Isanka Rajapaksha, Chanika Ruchini Mudalige, Dilini Karunarathna, Nisansa de Silva, Gathika Ratnayaka, Amal Shehan Perera arXiv ID 2011.05675 Category cs.CL: Computation & Language Cross-listed cs.LG Citations 13 Venue International Conference on Advances in ICT for Emerging Regions Last Checked 5 months ago
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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