Aristoteles, Aristoteles and Syam, Muhammad Umaruddin and Tristiyanto, Tristiyanto and Bambang Hermanto, Bambang (2024) Implementation of Cosine Similarity Algorithm on Omnibus Law Drafting. International Journal of Advanced Computer Science and Applications, 15 (4). pp. 200-205. ISSN 2156-5570 (online), 2158-107X(Print)
|
Text
Paper_20-Implementation_of_Cosine_Similarity_Algorithm.pdf Download (1MB) | Preview |
Abstract
Drafting of Omnibus Laws presents a complex challenge in legal governance, often involving the integration and consolidation of disparate legal provisions into a unified framework. In this context, the application of advanced computational techniques becomes crucial for streamlining the drafting process and ensuring coherence across the law's various components. Cosine similarity, a widely used measure in natural language processing and document analysis, offers a quantitative means to assess the similarity between different sections or articles within the Omnibus Law draft. By representing legal texts as high-dimensional vectors in a vector space model, cosine similarity enables the comparison of textual similarity based on the cosine of the angle between these vectors. Implementing cosine similarity in the context of omnibus law using FastAPI and Laravel can be a valuable tool for analyzing similarity between legal documents, especially in the context of omnibus law. Legal practitioners and researchers can use the cosine similarity measure to compare the textual content of different legal documents and identify similarities. This can aid in tasks such as legal document retrieval, clustering similar provisions, and detecting potential inconsistencies. The combination of FastAPI and Laravel provides a potent and efficient way to develop and deploy this functionality, contributing to the advancement of legal informatics and analysis. The dataset used is Undang-Undang (UU) which used Bahasa from 1945 to 2022, comprising a total of 1705 UU. The implemented cosine similarity yielded a recall rate of 90.10% on the law.
| Item Type: | Article |
|---|---|
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Fakultas Matematika dan Ilmu Pengetahuan Alam (FMIPA) > Prodi Ilmu Komputer |
| Depositing User: | Aristoteles Aristoteles |
| Date Deposited: | 08 May 2024 02:49 |
| Last Modified: | 08 May 2024 02:49 |
| URI: | http://repository.lppm.unila.ac.id/id/eprint/53450 |
Actions (login required)
 |
View Item |