The nature of statistical learning theory
The nature of statistical learning theory
Making large-scale support vector machine learning practical
Advances in kernel methods
Foundations of statistical natural language processing
Foundations of statistical natural language processing
A maximum entropy approach to identifying sentence boundaries
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Job Offer Management: How Improve the Ranking of Candidates
ISMIS '09 Proceedings of the 18th International Symposium on Foundations of Intelligent Systems
A hybrid approach to managing job offers and candidates
Information Processing and Management: an International Journal
Domain driven data mining in human resource management: A review of current research
Expert Systems with Applications: An International Journal
International Journal of Metadata, Semantics and Ontologies
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The exponential growth of the Internet has allowed the development of a market of on-line job search sites. 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 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. This first classification is afterwards transmitted to a "corrective" post-process which improves the quality of the solution.