Procode: A Machine-Learning Tool to Support (Re-)coding of Free-Texts of Occupations and Industries.
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7 janvier 2022
- doi: 10.1093/annweh/wxab037
- issn: 2398-7308
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N. Savic et al., « Procode: A Machine-Learning Tool to Support (Re-)coding of Free-Texts of Occupations and Industries. », Serveur académique Lausannois, ID : 10.1093/annweh/wxab037
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Procode is a free of charge web-tool that allows automatic coding of occupational data (free-texts) by implementing Complement Naïve Bayes (CNB) as a machine-learning technique. The paper describes the algorithm, performance evaluation, and future goals regarding the tool's development. Almost 30 000 free-texts with manually assigned classification codes of French classification of occupations (PCS) and French classification of activities (NAF) were used to train CNB. A 5-fold cross-validation found that Procode predicts correct classification codes in 57-81 and 63-83% cases for PCS and NAF, respectively. Procode also integrates recoding between two classifications. In the first version of Procode, this operation, however, is only a simple search function of recoding links in existing crosswalks. Future focus of the project will be collection of the data to support automatic coding to other classification and to establish a more advanced method for recoding.