A hybrid classifier approach for Web retrieved documents classification

Document Type

Conference Proceeding

Publication Date

7-7-2004

Abstract

The paper presents a hybrid technique for the classification of web returned hits into concept hierarchies. The technique involves a combination of manual and automatic classifiers. At first, all web returned documents are assigned to human defined categories using manual classifiers, and then automatic classifiers are used to generate a concept hierarchy for each of these categories. The results of the evaluation reveal the following: (a) for polysemous queries, our system is able to generate meaningful categories corresponding to (but not limited to), the different semantic facets of the queries; (b) as expected, for non-polysemous queries the system generates fewer categories; (c) the hierarchy precision of the concept hierarchies generated for polysemous queries is found to be significantly better when compared to the one obtained using a baseline system.

Identifier

3042601662 (Scopus)

ISBN

[0769521088, 9780769521084]

Publication Title

International Conference on Information Technology Coding Computing ITCC

External Full Text Location

https://doi.org/10.1109/ITCC.2004.1286474

First Page

326

Last Page

330

Volume

1

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