On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process

Nikos Kanakaris; Nikos Karacapilidis; Georgios Kournetas

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Paper

On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process

Topics: Project Management; Resource Allocation

In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems ICORES - Volume 1, 304-310, 2020 , Valletta, Malta

Authors: Nikos Kanakaris ; Nikos Karacapilidis and Georgios Kournetas

Affiliation: Industrial Management and Information Systems Lab, MEAD, University of Patras, 26504 Rio Patras, Greece

Keyword(s): Natural Language Processing, Machine Learning, Operations Research, Human Resource Allocation.

Abstract: Human resources always play a crucial role on firms’ profitability and sustainability. For a long time already, the identification of the appropriate personnel possessing the skills and expertise required to undertake a task is mainly performed through simple keyword searches exploiting structured data. In this paper, we build on Natural Language Processing techniques to take this identification to a higher level of detail, granularity and accuracy. Our approach elaborates unstructured data such as descriptions and titles of tasks to extract valuable information about the employees’ capability of successfully engaging with a particular task. Text classifiers such as naive Bayes, logistic regression, support vector machines, k-nearest neighbors and neural networks are being tested and comparably assessed.

CC BY-NC-ND 4.0

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Paper citation in several formats:

Kanakaris, N.; Karacapilidis, N. and Kournetas, G. (2020). On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process. In Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES; ISBN 978-989-758-396-4; ISSN 2184-4372, SciTePress, pages 304-310. DOI: 10.5220/0009151603040310

@conference{icores20,
author={Nikos Kanakaris. and Nikos Karacapilidis. and Georgios Kournetas.},
title={On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process},
booktitle={Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES},
year={2020},
pages={304-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009151603040310},
isbn={978-989-758-396-4},
issn={2184-4372},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Operations Research and Enterprise Systems - ICORES
TI - On the Exploitation of Textual Descriptions for a Better-informed Task Assignment Process
SN - 978-989-758-396-4
IS - 2184-4372
AU - Kanakaris, N.
AU - Karacapilidis, N.
AU - Kournetas, G.
PY - 2020
SP - 304
EP - 310
DO - 10.5220/0009151603040310
PB - SciTePress