Start Submission Become a Reviewer

Reading: Unified Legal Party Based Sentiment Analysis Pipeline

Download

A- A+
Alt. Display

Articles

Unified Legal Party Based Sentiment Analysis Pipeline

Authors:

Sahan Jayasinghe ,

University of Moratuwa, LK
About Sahan
Department of Computer Science & Engineering
X close

Lakith Rambukkanage,

University of Moratuwa, LK
About Lakith
Department of Computer Science & Engineering
X close

Ashan Silva,

University of Moratuwa, LK
About Ashan
Department of Computer Science & Engineering
X close

Nisansa de Silva,

University of Moratuwa, LK
About Nisansa
Department of Computer Science & Engineering
X close

Amal Shehan Perera

University of Moratuwa, LK
About Amal
Department of Computer Science & Engineering
X close

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

Downloads

  • PDF (EN)

    comments powered by Disqus