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Domain-Specific Legal Judgment Summarizer using Latent Dirichlet Allocation
by
Farhana Rizvi,
Muhammad Daud Awan,
Malik Sikandar Hayat Khiyal,
Amber Sarwar Hashmi
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 187 - Number 17 |
| Year of Publication: 2025 |
| Authors: Farhana Rizvi, Muhammad Daud Awan, Malik Sikandar Hayat Khiyal, Amber Sarwar Hashmi |
10.5120/ijca2025925230
|
Farhana Rizvi, Muhammad Daud Awan, Malik Sikandar Hayat Khiyal, Amber Sarwar Hashmi . Domain-Specific Legal Judgment Summarizer using Latent Dirichlet Allocation. International Journal of Computer Applications. 187, 17 ( Jul 2025), 53-59. DOI=10.5120/ijca2025925230
@article{
10.5120/ijca2025925230,
author = {
Farhana Rizvi,
Muhammad Daud Awan,
Malik Sikandar Hayat Khiyal,
Amber Sarwar Hashmi
},
title = { Domain-Specific Legal Judgment Summarizer using Latent Dirichlet Allocation },
journal = {
International Journal of Computer Applications
},
issue_date = { Jul 2025 },
volume = { 187 },
number = { 17 },
month = { Jul },
year = { 2025 },
issn = { 0975-8887 },
pages = {
53-59
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume187/number17/domain-specific-legal-judgment-summarizer-using-latent-dirichlet-allocation/
},
doi = { 10.5120/ijca2025925230 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-07-09T01:07:29.332298+05:30
%A Farhana Rizvi
%A Muhammad Daud Awan
%A Malik Sikandar Hayat Khiyal
%A Amber Sarwar Hashmi
%T Domain-Specific Legal Judgment Summarizer using Latent Dirichlet Allocation
%J International Journal of Computer Applications
%@ 0975-8887
%V 187
%N 17
%P 53-59
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Digitalization has brought about significant opportunities and challenges for Law, IT researchers for a balanced and quality summary. A statistical and topic modeling-based strategy is presented to extract an automatic summary from the PLD for legal judgments. LDA is the measuring method to capture the most important topics, rank the summary according to the final section of the legal judgments. Summarizing legal judgments involves leveraging LDA’s topic modeling to update the summarization process. To generate a quality summary using the evaluating metrics. These results show the role of the proposed algorithm in a better way the proposed algorithm is competent in computational processing and has an understandable method for implementing the PLD judgments.
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Index Terms
Computer Science
Information Sciences
Keywords