Rule-Based Approach for Party-Based Sentiment Analysis in Legal Opinion Texts
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Abstract (arXiv)
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.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Nov 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 0; 2024: 2.
4 papers.
- 2022Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragonscited by 5
- 2024Aspect-Based Sentiment Analysis Techniques: A Comparative Studycited by 3
- 2024A Scalable Data-Driven Framework for Systematic Analysis of SEC 10-K Filings Using Large Language Modelscited by 3
- 2021Critical Sentence Identification in Legal Cases Using Multi-Class Classificationcited by 1
- 2024A Scalable Data-Driven Framework for Systematic Analysis of SEC 10-K Filings Using Large Language Models26 Sep 2024
- 2024Aspect-Based Sentiment Analysis Techniques: A Comparative Study3 Jul 2024
- 2022Synthesis and Evaluation of a Domain-specific Large Data Set for Dungeons & Dragons18 Dec 2022
- 2021Critical Sentence Identification in Legal Cases Using Multi-Class Classification10 Nov 2021