Utilize este identificador para referenciar este registo:
https://hdl.handle.net/10316/7640
Título: | On Text-based Mining with Active Learning and Background Knowledge Using SVM | Autor: | Silva, Catarina Ribeiro, Bernardete |
Data: | 2007 | Citação: | Soft Computing - A Fusion of Foundations, Methodologies and Applications. 11:6 (2007) 519-530 | Resumo: | Abstract Text mining, intelligent text analysis, text data mining and knowledge-discovery in text are generally used aliases to the process of extracting relevant and non-trivial information from text. Some crucial issues arise when trying to solve this problem, such as document representation and deficit of labeled data. This paper addresses these problems by introducing information from unlabeled documents in the training set, using the support vector machine (SVM) separating margin as the differentiating factor. Besides studying the influence of several pre-processing methods and concluding on their relative significance, we also evaluate the benefits of introducing background knowledge in a SVM text classifier. We further evaluate the possibility of actively learning and propose a method for successfully combining background knowledge and active learning. Experimental results show that the proposed techniques, when used alone or combined, present a considerable improvement in classification performance, even when small labeled training sets are available. | URI: | https://hdl.handle.net/10316/7640 | DOI: | 10.1007/s00500-006-0080-8 | Direitos: | openAccess |
Aparece nas coleções: | FCTUC Eng.Informática - Artigos em Revistas Internacionais |
Mostrar registo em formato completo
Citações SCOPUSTM
25
Visto em 7/out/2024
Citações WEB OF SCIENCETM
5
21
Visto em 2/out/2024
Visualizações de página 50
531
Visto em 15/out/2024
Downloads
358
Visto em 15/out/2024
Google ScholarTM
Verificar
Altmetric
Altmetric
Todos os registos no repositório estão protegidos por leis de copyright, com todos os direitos reservados.