Multi-label Hierarchical Text Classification using the ACM Taxonomy
| Main Author: | |
|---|---|
| Publication Date: | 2009 |
| Other Authors: | |
| Format: | Article |
| Language: | eng |
| Source: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Download full: | http://hdl.handle.net/10400.22/10438 |
Summary: | Many of the works of text classification involve the attribution of each text a single class label from a predefined set of classes, usually small and flat organized (flat classification). However, there are more complex classification problems in which we can assign to each text more than one class (multi-label classification), that can be organized in a hierarchical structure (hierarchical classification) to support thematic searches by browsing topics of interests. In this paper, a problem of multi-label hierarchical text classification is presented. The experiment involves the creation of a multi-label hierarchical text collection, its pre-processing, followed by the application of different classifiers to the collection, and finally, the evaluation of the classifiers performance. |
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Multi-label Hierarchical Text Classification using the ACM TaxonomyMulti-label hierarchical text classificationACM taxonomyMany of the works of text classification involve the attribution of each text a single class label from a predefined set of classes, usually small and flat organized (flat classification). However, there are more complex classification problems in which we can assign to each text more than one class (multi-label classification), that can be organized in a hierarchical structure (hierarchical classification) to support thematic searches by browsing topics of interests. In this paper, a problem of multi-label hierarchical text classification is presented. The experiment involves the creation of a multi-label hierarchical text collection, its pre-processing, followed by the application of different classifiers to the collection, and finally, the evaluation of the classifiers performance.REPOSITÓRIO P.PORTORodrigues, FátimaSantos, António Paulo2017-11-15T11:27:09Z2009-102009-10-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/10438enginfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-04-02T03:08:33Zoai:recipp.ipp.pt:10400.22/10438Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T00:43:54.879634Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| title |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| spellingShingle |
Multi-label Hierarchical Text Classification using the ACM Taxonomy Rodrigues, Fátima Multi-label hierarchical text classification ACM taxonomy |
| title_short |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| title_full |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| title_fullStr |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| title_full_unstemmed |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| title_sort |
Multi-label Hierarchical Text Classification using the ACM Taxonomy |
| author |
Rodrigues, Fátima |
| author_facet |
Rodrigues, Fátima Santos, António Paulo |
| author_role |
author |
| author2 |
Santos, António Paulo |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
REPOSITÓRIO P.PORTO |
| dc.contributor.author.fl_str_mv |
Rodrigues, Fátima Santos, António Paulo |
| dc.subject.por.fl_str_mv |
Multi-label hierarchical text classification ACM taxonomy |
| topic |
Multi-label hierarchical text classification ACM taxonomy |
| description |
Many of the works of text classification involve the attribution of each text a single class label from a predefined set of classes, usually small and flat organized (flat classification). However, there are more complex classification problems in which we can assign to each text more than one class (multi-label classification), that can be organized in a hierarchical structure (hierarchical classification) to support thematic searches by browsing topics of interests. In this paper, a problem of multi-label hierarchical text classification is presented. The experiment involves the creation of a multi-label hierarchical text collection, its pre-processing, followed by the application of different classifiers to the collection, and finally, the evaluation of the classifiers performance. |
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2009 |
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2009-10 2009-10-01T00:00:00Z 2017-11-15T11:27:09Z |
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info:eu-repo/semantics/publishedVersion |
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info:eu-repo/semantics/article |
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http://hdl.handle.net/10400.22/10438 |
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eng |
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application/pdf |
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