Abstract:
The master thesis, ""Exploring the Colombian Constitutional Jurisprudence through Bibliometric Analysis and Large Language Models: An Application in Legal Research,"" represents a groundbreaking fusion of statistics, data science, and legal research, poised to revolutionize the Colombian legal landscape. The study addresses a critical gap in the Colombian Constitutional Court's search capabilities in a digital era where legal information retrieval is evolving. The research uses cutting-edge statistical techniques and data science methodologies to introduce a novel similarity metric for legal documents, seamlessly integrating co-citation, bibliographic coupling, and advanced natural language processing (NLP) techniques. The exciting journey begins by recognizing the transformative potential of information and communication technology (ICT) in legal practice. The thesis challenges the status quo, proposing a semantic search engine that goes beyond keyword based queries. It's not just about finding documents; it's about understanding their context, a gamechanger for legal professionals, students, and the public navigating the rich tapestry of Colombian jurisprudence. The heartbeat of the thesis is the innovative application of large language models (LLMs) and the Word2Vec algorithm to the intricacies of Colombian law. The research isn't merely about technology; it's about fine-tuning these models to the nuances of legal language. The results? A powerful semantic search engine that doesn't just retrieve information but empowers users with a deeper understanding of legal concepts and principles. The thesis doesn't stop at technological advancements. It envisions a societal impact that resonates across economic, social, and legal dimensions. This isn't just about efficiency gains; it's about access to justice, legal literacy, and transparency. The proposed tools promise to be a catalyst for change, fostering a legal system that's inclusive, efficient, fair, and responsive to the needs of individuals. In the realm of data science competitions, this thesis stands out as a beacon of innovation with a clear path to real-world application. The fusion of statistics, data science, and legal expertise isn't just theoretical; it's a roadmap for tangible impact. As the research unfolds, it reveals the potential for winning a competition and the promise of transforming the way legal decisions are made, accessed, and understood in Colombia. This thesis isn't just a contender; it's a champion in the making, poised to leave an indelible mark on the future of legal research and data-driven decision-making in Colombia.
Citación recomendada (normas APA)
Sonia Rocio; Giraldo Vargas Socadagui Casas, "Exploring the Colombian Constitutional Jurisprudence through Bibliometric Analysis and Large Language Models: An Application in Legal Research", Colombia:-, 2023. Consultado en línea en la Biblioteca Digital de Bogotá (https://www.bibliotecadigitaldebogota.gov.co/resources/3711988/), el día 2025-05-03.
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