E-Gen: traitement automatique des offres d'emploi (original) (raw)

2008

Abstract

The exponential growth of the Internet has made the development of a market of on-line job search sites possible. This paper aims at presenting the E-Gen system (Automatic Job Offer Processing system for Human Resources). E-Gen will implement two complex tasks: an analysis and categorisation of job postings, which are unstructured text documents (e-mails of job listings, possibly with an attached document), an analysis and a relevance ranking of the candidate's answers (cover letter and curriculum vitae). This paper aims to present a strategy to resolve the first task: after a process of filtering and lemmatisation, we use vectorial representation before generating a classification with Support Vector Machines and n-grams of words. This first classification is then transmitted to a "corrective" post-process (with the Markov model and a Branch&Bound algorithm for pruning the tree) which improves the quality of the solution.

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