Development of automated processes for Exploratory Data Analysis and Machine Learning models for unstructured data and text mining

• Grant number: 26/06939-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2026
• End date: March 31, 2027
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Luciana Romano Morilas
• Grantee: Alexandre Hiero Reis Vianna
• Host Institution: Faculdade de Economia, Administração e Contabilidade de Ribeirão Preto (FEARP). Universidade de São Paulo (USP). Ribeirão Preto , SP, Brazil
• Associated research grant: 24/01122-7 - Multidisciplinary Center for Strategy, Research, and Innovation of the State Attorney General's Office of São Paulo, AP.CCD

Abstract

The mining and analysis of large volumes of unstructured data-such as legal documents, transcripts, and correspondence-represent a highly valuable area for the project, considering the responsibilities of the PGE and the project's scope. Advanced techniques in natural language processing, machine learning, and predictive analytics can uncover hidden insights within these data to support criminal investigations, labor analyses, litigation pattern identification, audits, and other collaborative elements that inform strategic decision-making.The inclusion of an undergraduate research assistant (IC) will provide support in the development of scripts and data organization, which are essential for handling unstructured data and complement the legal and forensic expertise already present in the team. The main responsibilities of this role include collecting, preparing, and modeling relevant datasets, as well as deriving and communicating insights in a clear and actionable manner. (AU)