Natural Language Processing Approach for Classification of Archetypes Using Text on Business Environments

Richard Mariano, Ana Conceição de Jesus, Alessandro Vieira, Jessica Assunção da Almeida de Lima, Giulia Zanon de Castro, Wladmir Brandão, Wladmir Brandão

2023

Abstract

Organizations increasingly offer resources to improve performance, minimize costs, and achieve better results. An organization is the individuals who work or provide services in it. Therefore, good organizational performance directly results from the good work of its collaborators. Identifying the archetype in the business environment can combine individuals with companies, which can improve the organizational environment and enhance the development of the individual. A person leaves traces of his behavior in what he produces, such as videos and texts. Some studies point to the possibility of identifying a behavioral profile from a textual production. In this work, we seek to identify the archetype of individuals within the business environment based on their curriculum texts. We combine the behavioral profile assessment (BPA) archetypes (Planner, Analyst, Communicator, and Executor) with 26,636 curriculum to apply machine learning models. For this task, we used classification and regression approaches. The main algorithm used for the approaches was the SVM. The results suggest that the archetypes are better modeled using regression techniques, obtaining an MSE of 4.49 in the best case. We also provide a visual explanation example to understand the model outputs.

Paper Citation

in Harvard Style

Mariano R., Conceição de Jesus A., Vieira A., Assunção da Almeida de Lima J., Zanon de Castro G. and Brandão W. (2023). Natural Language Processing Approach for Classification of Archetypes Using Text on Business Environments. In Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS, ISBN 978-989-758-648-4, SciTePress, pages 501-508. DOI: 10.5220/0011856200003467

in Bibtex Style

@conference{iceis23,
author={Richard Mariano and Ana Conceição de Jesus and Alessandro Vieira and Jessica Assunção da Almeida de Lima and Giulia Zanon de Castro and Wladmir Brandão},
title={Natural Language Processing Approach for Classification of Archetypes Using Text on Business Environments},
booktitle={Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,},
year={2023},
pages={501-508},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011856200003467},
isbn={978-989-758-648-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 25th International Conference on Enterprise Information Systems - Volume 1: ICEIS,
TI - Natural Language Processing Approach for Classification of Archetypes Using Text on Business Environments
SN - 978-989-758-648-4
AU - Mariano R.
AU - Conceição de Jesus A.
AU - Vieira A.
AU - Assunção da Almeida de Lima J.
AU - Zanon de Castro G.
AU - Brandão W.
PY - 2023
SP - 501
EP - 508
DO - 10.5220/0011856200003467
PB - SciTePress