Today the Web represents a rich source of labour market data for both public and private operators, as a growing number of job offers are advertised through Web portals and services. In this paper we apply and compare several techniques, namely explicit-rules, machine learning, and LDA-based algorithms to classify a real dataset of Web job offers collected from 12 heterogeneous sources against a standard classification system of occupations.

Amato, F., Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M., Moscato, V., et al. (2015). Challenge: Processing web texts for classifying job offers. In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015 (pp.460-463). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICOSC.2015.7050852].

Challenge: Processing web texts for classifying job offers

BOSELLI, ROBERTO
Secondo
;
CESARINI, MIRKO;MERCORIO, FABIO;MEZZANZANICA, MARIO;
2015

Abstract

Today the Web represents a rich source of labour market data for both public and private operators, as a growing number of job offers are advertised through Web portals and services. In this paper we apply and compare several techniques, namely explicit-rules, machine learning, and LDA-based algorithms to classify a real dataset of Web job offers collected from 12 heterogeneous sources against a standard classification system of occupations.
paper
Computer Networks and Communications; Computer Science Applications1707 Computer Vision and Pattern Recognition; Information Systems; Software
English
9th IEEE International Conference on Semantic Computing, IEEE ICSC 2015
2015
Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015
9781479979356
2015
460
463
7050852
none
Amato, F., Boselli, R., Cesarini, M., Mercorio, F., Mezzanzanica, M., Moscato, V., et al. (2015). Challenge: Processing web texts for classifying job offers. In Proceedings of the 2015 IEEE 9th International Conference on Semantic Computing, IEEE ICSC 2015 (pp.460-463). Institute of Electrical and Electronics Engineers Inc. [10.1109/ICOSC.2015.7050852].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/84414
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