Multi-attribute text classification using the fuzzy Borda method and semantic grades

Eugene Levner, David Alcaide, Joaquin Sicilia

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

We consider the problem of automatic classification of text documents, in particular, scientific abstracts and use two types of classifiers: ordinal and numerical. For the first type we use a fuzzy extension of the Borda voting method while for the second type we use a fuzzy Borda method in combination with the semantic grading.

Original languageEnglish
Title of host publicationApplications of Fuzzy Sets Theory - 7th International Workshop on Fuzzy Logic and Applications, WILF 2007, Proceedings
PublisherSpringer Verlag
Pages422-429
Number of pages8
ISBN (Print)9783540733997
DOIs
StatePublished - 2007
Externally publishedYes
Event7th International Workshop on Fuzzy Logic and Applications, WILF 2007 - Camogli, Italy
Duration: 7 Jul 200710 Jul 2007

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4578 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference7th International Workshop on Fuzzy Logic and Applications, WILF 2007
Country/TerritoryItaly
CityCamogli
Period7/07/0710/07/07

Fingerprint

Dive into the research topics of 'Multi-attribute text classification using the fuzzy Borda method and semantic grades'. Together they form a unique fingerprint.

Cite this