Development of semi-structured document classification system

Pao Yue-kong Library Electronic Theses Database

Development of semi-structured document classification system


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
Dept. of Computing
Pages: 48 leaves : ill. ; 30 cm
Language: English
InnoPac Record:
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.

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