Does Semantic Information Help in the Text Categorization Task?
Identifieur interne : 000414 ( Main/Exploration ); précédent : 000413; suivant : 000415Does Semantic Information Help in the Text Categorization Task?
Auteurs : E. Ferretti ; M. Errecalde ; P. RossoSource :
- Journal of Intelligent Systems [ 0334-1860 ] ; 2008.
English descriptors
- Teeft :
- Annual symposium, Best codifications, Best results, Categorization, Categorization task, Classifier, Codification, Complete vocabularies, Computational linguistics, Corresponding vectors, Cosine normalization, Data sets, Document, Document analysis, Edgardo ferretti, Errecalde, Error percentage, Error percentage decreases, European conference, Ferretti, First place, Further work, Human indexer, Information gain, Information retrieval, Information systems, Intelligent systems, International conference, Lowest error percentages, Natural language processing, Nearest neighbours method, Neighbour, News groups, Newsgroups, Newsgroups corpus, Other codifications, Particular characteristics, Previous work, Representative case, Retrieval, Reuters, Reuters corpora, Reuters corpus, Rosso, Rosso journal, Semantic information, Several methods, Sgml format, Support vector machines, Synset, Term frequency, Test document, Test documents, Text categorization, Text categorization task, Text classification, Text documents, Text retrieval, Training documents, Vector space model, Vocabulary size, Vocabulary size increases, Vocabulary size reduction, Vocabulary sizes, Webkb, Webkb corpus, Word sense disambiguation, Wordnet, Wordnet ontology.
Url:
DOI: 10.1515/JISYS.2008.17.1-3.91
Affiliations:
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Rosso</name></author></analytic><monogr></monogr><series><title level="j">Journal of Intelligent Systems</title><idno type="ISSN">0334-1860</idno><idno type="eISSN">2191-026X</idno><imprint><publisher>De Gruyter</publisher><date type="published" when="2008">2008</date><biblScope unit="volume">17</biblScope><biblScope unit="issue">1-3</biblScope><biblScope unit="page" from="91">91</biblScope><biblScope unit="page" to="106">106</biblScope></imprint><idno type="ISSN">0334-1860</idno></series></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0334-1860</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="Teeft" xml:lang="en"><term>Annual symposium</term><term>Best codifications</term><term>Best results</term><term>Categorization</term><term>Categorization task</term><term>Classifier</term><term>Codification</term><term>Complete vocabularies</term><term>Computational linguistics</term><term>Corresponding vectors</term><term>Cosine normalization</term><term>Data sets</term><term>Document</term><term>Document analysis</term><term>Edgardo ferretti</term><term>Errecalde</term><term>Error percentage</term><term>Error percentage decreases</term><term>European conference</term><term>Ferretti</term><term>First place</term><term>Further work</term><term>Human indexer</term><term>Information gain</term><term>Information retrieval</term><term>Information systems</term><term>Intelligent systems</term><term>International conference</term><term>Lowest error percentages</term><term>Natural language processing</term><term>Nearest neighbours method</term><term>Neighbour</term><term>News groups</term><term>Newsgroups</term><term>Newsgroups corpus</term><term>Other codifications</term><term>Particular characteristics</term><term>Previous work</term><term>Representative case</term><term>Retrieval</term><term>Reuters</term><term>Reuters corpora</term><term>Reuters corpus</term><term>Rosso</term><term>Rosso journal</term><term>Semantic information</term><term>Several methods</term><term>Sgml format</term><term>Support vector machines</term><term>Synset</term><term>Term frequency</term><term>Test document</term><term>Test documents</term><term>Text categorization</term><term>Text categorization task</term><term>Text classification</term><term>Text documents</term><term>Text retrieval</term><term>Training documents</term><term>Vector space model</term><term>Vocabulary size</term><term>Vocabulary size increases</term><term>Vocabulary size reduction</term><term>Vocabulary sizes</term><term>Webkb</term><term>Webkb corpus</term><term>Word sense disambiguation</term><term>Wordnet</term><term>Wordnet ontology</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader></TEI><affiliations><list></list><tree><noCountry><name sortKey="Errecalde, M" sort="Errecalde, M" uniqKey="Errecalde M" first="M." last="Errecalde">M. Errecalde</name><name sortKey="Ferretti, E" sort="Ferretti, E" uniqKey="Ferretti E" first="E." last="Ferretti">E. Ferretti</name><name sortKey="Rosso, P" sort="Rosso, P" uniqKey="Rosso P" first="P." last="Rosso">P. Rosso</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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