Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor | Multi-disciplinary Studies | en_US |
| dc.contributor | Department of Computing | en_US |
| dc.creator | Lau, Tak-shan Frederick | - |
| dc.identifier.uri | https://theses.lib.polyu.edu.hk/handle/200/3161 | - |
| dc.language | English | en_US |
| dc.publisher | Hong Kong Polytechnic University | - |
| dc.rights | All rights reserved | en_US |
| dc.title | Development of semi-structured document classification system | en_US |
| dcterms.abstract | This paper introduces a structured vector space classification system, which can automatically classify semi-structured documents into some predefined categories. This system is distinguished by taking into accounts the structural information typically found in semi-structured document. Traditional classifiers perform well on flat text or non-structured documents, since they view documents as an n-dimensional vectors of terms. This semi-structured document classifier concentrates on the structure of the documents, it views documents not only the terms but also the structure information. Moreover, this classifier performs significantly better on pre-defined samples obtained from the web than the traditional classifier. | en_US |
| dcterms.extent | 48 leaves : ill. ; 30 cm | en_US |
| dcterms.isPartOf | PolyU Electronic Theses | en_US |
| dcterms.issued | 2002 | en_US |
| dcterms.educationalLevel | All Master | en_US |
| dcterms.educationalLevel | M.Sc. | en_US |
| dcterms.LCSH | Hong Kong Polytechnic University -- Dissertations | en_US |
| dcterms.LCSH | Documents -- Classification | en_US |
| dcterms.accessRights | restricted access | en_US |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b16731426.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.86 MB | Adobe PDF | View/Open |
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