Journals › The International Journal on Advances in ICT for Emerging Regions
Unified Legal Party Based Sentiment Analysis Pipeline
The International Journal on Advances in ICT for Emerging Regions 15(2): 12–21 · 2022
https://doi.org/10.4038/icter.v15i2.7247
Abstract
The rapid growth of text corpora across various domains has emerged a need and an opportunity to leverage Natural 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
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