A new optimized machine learning approach for extraction and classification of informations in curriculum vitae | [Journal of Theoretical and Applied Information Technology • 2022]

Author(s):

1. SAFIA BAALI: LTIM Laboratory, Ben M'Sik Faculy of science, Hassan II University,,Morocco

2. HICHAM MOUTACHAOUEK: Strectural Engineering,Inteligent Systems, and Electrical Energy, ENSAM,Morocco

3. ABDELAZIZ MARZAK: LTIM Laboratory, Ben M'Sik Faculy of science, Hassan II University,,Morocco

4. IBRAHIM HAMZANE: LTIM Laboratory, Ben M'Sik Faculy of science, Hassan II University,,Morocco

Abstract:

The hiring process has evolved It refers to the process of finding, selecting and recruiting new employees to a company/organisation through CVs. We have presented in this paper a solution in the form of an automated and flexible system to extract vital information from unstructured CVs and transform it into a structured format and then use it in a recommendation system according to the available positions.

Page(s): 2051-2067

DOI: DOI not available

Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 7, Year: 2022

Keywords:

Information Extraction , NLP , Machine learning , Recommendation System

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