Publicação
Automation of companies’ recruitment process: development of an algorithm capable of ranking CVs according to job offers
| Resumo: | This document presents a Thesis and describes the underlying work which was developed along the second year of the Master Degree in Informatics Engineering offered by Departamento de Informática of Universidade do Minho and accomplished at Syone SBS Software – Tecnologia e Serviços de Informática, S.A.. In the past few years, some attempts to automatically screening CVs with resource to Natural Language Processing have been made not only to save recruiters’ time, but also to spare them the most tedious task of the recruitment process and, consequently, smooth their job. However, the majority is still very primitive, misclassifies a lot of CVs and needs a deeper study. Therefore, the aim of this Master’s Project is precisely to develop an algorithm that is capable of automatically ranking candidates’ CVs according to their similarity regarding the job offer they applied for. Thus, a general architecture was proposed where CVs and job offers are preprocessed, in order to obtain the respective texts proper to be further processed. That said, two different approaches were followed, in order to find the similarity between the documents in question. To do so, the first approach resorted to several Machine Learning algorithms and similarity measures, while the second approach structured the initial documents to compare their respective information. After that, tests were conducted to evaluate both approaches and enable the comparison between them. Finally, the conclusions were drawn and also reported in this dissertation. |
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| Autores principais: | Rocha, Beatriz de Freitas |
| Assunto: | Curriculum vitae (CV) CV screening Machine learning (ML) Natural language processing (NLP) Aprendizagem automática Curriculum vitae (CV) Processamento de linguagem natural (PLN) Triagem de currículos Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática |
| Ano: | 2022 |
| País: | Portugal |
| Tipo de documento: | dissertação de mestrado |
| Tipo de acesso: | acesso aberto |
| Instituição associada: | Universidade do Minho |
| Idioma: | inglês |
| Origem: | RepositóriUM - Universidade do Minho |
| Resumo: | This document presents a Thesis and describes the underlying work which was developed along the second year of the Master Degree in Informatics Engineering offered by Departamento de Informática of Universidade do Minho and accomplished at Syone SBS Software – Tecnologia e Serviços de Informática, S.A.. In the past few years, some attempts to automatically screening CVs with resource to Natural Language Processing have been made not only to save recruiters’ time, but also to spare them the most tedious task of the recruitment process and, consequently, smooth their job. However, the majority is still very primitive, misclassifies a lot of CVs and needs a deeper study. Therefore, the aim of this Master’s Project is precisely to develop an algorithm that is capable of automatically ranking candidates’ CVs according to their similarity regarding the job offer they applied for. Thus, a general architecture was proposed where CVs and job offers are preprocessed, in order to obtain the respective texts proper to be further processed. That said, two different approaches were followed, in order to find the similarity between the documents in question. To do so, the first approach resorted to several Machine Learning algorithms and similarity measures, while the second approach structured the initial documents to compare their respective information. After that, tests were conducted to evaluate both approaches and enable the comparison between them. Finally, the conclusions were drawn and also reported in this dissertation. |
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