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

Daniela Giorgetti, Irina Prodanof, Fabrizio Sebastiani

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages115-124
Number of pages10
Volume2389
ISBN (Print)3540438297, 9783540438298
Publication statusPublished - 2002
Externally publishedYes
Event3rd International Conference on Portugal for Natural Language Processing, PorTAL 2002 - Faro, Portugal
Duration: 23 Jun 200226 Jun 2002

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2389
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other3rd International Conference on Portugal for Natural Language Processing, PorTAL 2002
CountryPortugal
CityFaro
Period23/6/0226/6/02

Fingerprint

Text Categorization
Coding
Hierarchical Model
Questionnaire
Evaluation
Framework
Training

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Giorgetti, D., Prodanof, I., & Sebastiani, F. (2002). Mapping an automated survey coding task into a probabilistic text categorization framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2389, pp. 115-124). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2389). Springer Verlag.

Mapping an automated survey coding task into a probabilistic text categorization framework. / Giorgetti, Daniela; Prodanof, Irina; Sebastiani, Fabrizio.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2389 Springer Verlag, 2002. p. 115-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2389).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Giorgetti, D, Prodanof, I & Sebastiani, F 2002, Mapping an automated survey coding task into a probabilistic text categorization framework. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2389, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2389, Springer Verlag, pp. 115-124, 3rd International Conference on Portugal for Natural Language Processing, PorTAL 2002, Faro, Portugal, 23/6/02.
Giorgetti D, Prodanof I, Sebastiani F. Mapping an automated survey coding task into a probabilistic text categorization framework. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2389. Springer Verlag. 2002. p. 115-124. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Giorgetti, Daniela ; Prodanof, Irina ; Sebastiani, Fabrizio. / Mapping an automated survey coding task into a probabilistic text categorization framework. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2389 Springer Verlag, 2002. pp. 115-124 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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