This paper describes how to applya probabilistic Text Categorization method to a different and new domain where documents areanswers to open end questionnaires and codes viewed as categories consist of a hierarchical model. A reduced size training set mayb e used taking advantage of the hierarchical organization of categories. The system developed in this framework aims at helping psychologists in the evaluation of open end surveys inquiring about job candidates' competencies.

Mapping an automated survey coding task into a probabilistic text categorization framework

Prodanof I;Sebastiani F
2002

Abstract

This paper describes how to applya probabilistic Text Categorization method to a different and new domain where documents areanswers to open end questionnaires and codes viewed as categories consist of a hierarchical model. A reduced size training set mayb e used taking advantage of the hierarchical organization of categories. The system developed in this framework aims at helping psychologists in the evaluation of open end surveys inquiring about job candidates' competencies.
Campo DC Valore Lingua
dc.authority.anceserie LECTURE NOTES IN COMPUTER SCIENCE en
dc.authority.orgunit Istituto di linguistica computazionale "Antonio Zampolli" - ILC en
dc.authority.orgunit Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI en
dc.authority.people Giorgetti D en
dc.authority.people Prodanof I en
dc.authority.people Sebastiani F en
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dc.contributor.appartenenza Istituto di linguistica computazionale "Antonio Zampolli" - ILC *
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dc.date.accessioned 2024/02/19 09:33:12 -
dc.date.available 2024/02/19 09:33:12 -
dc.date.issued 2002 -
dc.description.abstracteng This paper describes how to applya probabilistic Text Categorization method to a different and new domain where documents areanswers to open end questionnaires and codes viewed as categories consist of a hierarchical model. A reduced size training set mayb e used taking advantage of the hierarchical organization of categories. The system developed in this framework aims at helping psychologists in the evaluation of open end surveys inquiring about job candidates' competencies. -
dc.description.affiliations CNR-ILC, Pisa, Italy; CNR-ILC, Pisa, Italy; CNR-ISTI, Pisa, Italy -
dc.description.allpeople Giorgetti, D; Prodanof, I; Sebastiani, F -
dc.description.allpeopleoriginal Giorgetti D.; Prodanof I.; Sebastiani F. en
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dc.identifier.doi 10.1007/3-540-45433-0_18 en
dc.identifier.isbn 978-3-540-43829-8 en
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dc.identifier.uri https://hdl.handle.net/20.500.14243/101823 -
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dc.language.iso eng en
dc.publisher.name Springer en
dc.relation.conferencedate 23-26/06/2002 en
dc.relation.conferencename PorTAL 2002 - Third International Conference on Advances in Natural Language Processing en
dc.relation.conferenceplace Faro, Portugal en
dc.relation.firstpage 115 en
dc.relation.ispartofbook Advances in Natural Language Processing en
dc.relation.lastpage 124 en
dc.relation.medium STAMPA en
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dc.subject.keywordseng Text categorization -
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dc.title Mapping an automated survey coding task into a probabilistic text categorization framework en
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scopus.contributor.name Daniela -
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scopus.description.abstracteng This paper describes how to applya probabilistic Text Categorization method to a different and new domain where documents are answers to open end questionnaires and codes viewed as categories consist of a hierarchical model. A reduced size training set mayb e used taking advantage of the hierarchical organization of categories. The system developed in this framework aims at helping psychologists in the evaluation of open end surveys inquiring about job candidates' competencies. *
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