Author: | Lau, Tak-shan Frederick |
Title: | Development of semi-structured document classification system |
Degree: | M.Sc. |
Year: | 2002 |
Subject: | Hong Kong Polytechnic University -- Dissertations Documents -- Classification |
Department: | Multi-disciplinary Studies Department of Computing |
Pages: | 48 leaves : ill. ; 30 cm |
Language: | English |
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. |
Rights: | All rights reserved |
Access: | restricted access |
Files in This Item:
File | Description | Size | Format | |
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b16731426.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 1.86 MB | Adobe PDF | View/Open |
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