Text Analysis Software Using Topic Modeling Techniques for the Extraction of Knowledge from Cases Related to Vulnerability and Access to Justice

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dc.contributor.affiliationEspinosa, J.E., Politécnico Colombiano Jaime Isaza Cadavid, Carrera 48 No. 7-151 El Poblado, Medellín, Colombia
dc.contributor.affiliationMateus, S.P., Politécnico Colombiano Jaime Isaza Cadavid, Carrera 48 No. 7-151 El Poblado, Medellín, Colombia
dc.contributor.affiliationRamirez, D.M., Universidad de Medellín, Medellín, Colombia
dc.contributor.authorEspinosa J.E
dc.contributor.authorMateus S.P
dc.contributor.authorRamirez D.M.
dc.contributor.conferencename5th International Conference on Artificial Intelligence in HCI, AI-HCI 2024, held as part of the 26th International Conference on Human-Computer Interaction, HCI International 2024spa
dc.date.accessioned2024-12-27T20:52:00Z
dc.date.available2024-12-27T20:52:00Z
dc.date.issued2024
dc.descriptionAccess to justice is a vital part of the UNDP (United Nations Development Programme) mandate to reduce poverty and strengthen democratic governance. One of the objectives of the Personero (ombudsmen) in emerging countries is to assist people in accessing justice, promoting equality and the protection of the most vulnerable, providing assistance to citizens through guidance or consultations. In Medellín (Colombia), the “Personería de Medellín” (ombudsman’s office) has established a citizen service system staffed by lawyers who address their difficulties, needs, or other issues, guiding them on the steps to take, such as filing legal actions or providing advice. All this information is recorded in a digitalized system. Annually, more than 16,000 different cases can be recorded (e.g. for year 2019), and despite the implementation of multidimensional analysis tools like dashboards, there is a need to implement Natural Language Processing (NLP) techniques to semantically analyze the fields of unstructured text information. This paper presents an application offered to citizens called Person_IA, which implements various functionalities based on artificial intelligence techniques, particularly Natural Language Processing (NLP). This allows for text analysis using strategies such as topic modeling, word clouds, n-grams, among others, to extract knowledge from the unstructured information in the citizen service system. This helps generate indicator reports and analyze variables that enable efficient decision-making by knowledge managers at the Medellín Ombudsman’s Office, facilitating access to justice for the vulnerable population in this city. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
dc.identifier.doi10.1007/978-3-031-60615-1_23
dc.identifier.instnameinstname:Universidad de Medellínspa
dc.identifier.isbn9783031606144
dc.identifier.issn3029743
dc.identifier.reponamereponame:Repositorio Institucional Universidad de Medellínspa
dc.identifier.repourlrepourl:https://repository.udem.edu.co/
dc.identifier.urihttps://hdl.handle.net/11407/8692
dc.language.isoeng
dc.publisherSpringer Science and Business Media Deutschland GmbHspa
dc.publisher.facultyFacultad de Derechospa
dc.publisher.programDerechospa
dc.relation.citationendpage352
dc.relation.citationstartpage334
dc.relation.citationvolume14736 LNAI
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85195522318&doi=10.1007%2f978-3-031-60615-1_23&partnerID=40&md5=45eadb03b1e15ac10c47929cca0fff64
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dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
dc.sourceLect. Notes Comput. Sci.
dc.sourceScopus
dc.subjectLatent Dirichlet Assignment (LDA)eng
dc.subjectLatent Semantic Analysis (LSA)eng
dc.subjectMachine Learningeng
dc.subjectNatural Language Processing (NLP)eng
dc.subjectTextual Analysiseng
dc.subjectTopic Modellingeng
dc.subjectBehavioral researcheng
dc.subjectData miningeng
dc.subjectDecision makingeng
dc.subjectLaws and legislationeng
dc.subjectLearning algorithmseng
dc.subjectModeling languageseng
dc.subjectNatural language processing systemseng
dc.subjectSemanticseng
dc.subjectDirichleteng
dc.subjectLanguage processingeng
dc.subjectLatent dirichlet assignmenteng
dc.subjectLatent semantic analyseeng
dc.subjectLatent Semantic Analysiseng
dc.subjectMachine-learningeng
dc.subjectNatural language processingeng
dc.subjectNatural languageseng
dc.subjectTextual-analysiseng
dc.subjectTopic Modelingeng
dc.subjectMachine learningeng
dc.titleText Analysis Software Using Topic Modeling Techniques for the Extraction of Knowledge from Cases Related to Vulnerability and Access to Justiceeng
dc.typeConference Paper
dc.type.localDocumento de conferenciaspa
dc.type.versioninfo:eu-repo/semantics/publishedVersion

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