Text Mining over Curriculum Vitae of Peruvian Professionals using Official Scientific Site DINA
Josimar Edinson Chire Saire, Honorio Apaza Alanoca

TL;DR
This paper explores Peruvian professionals' CVs from the official DINA site using data mining to gain insights into the country's scientific and technological landscape.
Contribution
It introduces a data mining approach to analyze CVs from the DINA database, providing new insights into Peruvian research professionals.
Findings
Identification of key research areas among Peruvian professionals
Patterns in educational and professional backgrounds
Potential for policy development based on CV analysis
Abstract
During the last decade, Peruvian government started to invest and promote Science and Technology through Concytec(National Council of Science and Technology). Many programs are oriented to support research projects, expenses for paper presentation, organization of conferences/ events and more. Concytec created a National Directory of Researchers(DINA) where professionals can create and add curriculum vitae, Concytec can provide official title of Researcher following some criterion for the evaluation. The actual paper aims to conduct an exploratory analysis over the curriculum vitae of Peruvian Professionals using Data Mining Approach to understand Peruvian context.
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Taxonomy
TopicsSemantic Web and Ontologies · Data Mining Algorithms and Applications · Web Data Mining and Analysis
