Use this URL to cite or link to this record in EThOS:
Title: A fuzzy semi-supervised support vector machine approach to hypertext categorization
Author: Benbrahim, Houda
ISNI:       0000 0001 3457 3200
Awarding Body: University of Portsmouth
Current Institution: University of Portsmouth
Date of Award: 2008
Availability of Full Text:
Access from EThOS:
As the web expands exponentially, the need to put some order to its content becomes apparent. Hypertext categorization, that is the automatic classification of web documents into predefined classes, came to elevate humans from that task. The extra information available in a hypertext document poses new challenges for automatic categorization. HTML tags and linked neighbourhood all provide rich information for hypertext categorization that is no available in traditional text classification.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available