Articles
Unified Legal Party Based Sentiment Analysis Pipeline
Authors:
Sahan Jayasinghe ,
University of Moratuwa, LK
About Sahan
Department of Computer Science & Engineering
Lakith Rambukkanage,
University of Moratuwa, LK
About Lakith
Department of Computer Science & Engineering
Ashan Silva,
University of Moratuwa, LK
About Ashan
Department of Computer Science & Engineering
Nisansa de Silva,
University of Moratuwa, LK
About Nisansa
Department of Computer Science & Engineering
Amal Shehan Perera
University of Moratuwa, LK
About Amal
Department of Computer Science & Engineering
Abstract
The rapid growth of text corpora across various domains has emerged a need and an opportunity to leverage Nat- ural Language Processing to automate and efficiently streamline tedious manual tasks. Legal domain is one such text rich domain which suffers a rapid growth of text corpora and requirement for natural language processing applications. In the pursuit of automating the prediction of the winning party of a court case among other usages, analysing sentiment in a party wise manner is beneficial for legal professionals. The two main sub-tasks in this process is to identify parties in a court case and afterwards analysing the respective sentiment towards each party. In this study we discuss the unification of two such models capable of doing the two task into a single pipeline to perform party based sentiment analysis efficiently
How to Cite:
Jayasinghe, S., Rambukkanage, L., Silva, A., de Silva, N. and Perera, A.S., 2022. Unified Legal Party Based Sentiment Analysis Pipeline. International Journal on Advances in ICT for Emerging Regions (ICTer), 15(2), pp.12–21. DOI: http://doi.org/10.4038/icter.v15i2.7247
Published on
08 Nov 2022.
Peer Reviewed
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