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: http://library.polyu.edu.hk/record=b1673142
URI: http://theses.lib.polyu.edu.hk/handle/200/3161
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.

Files in this item

Files Size Format
b16731426.pdf 1.905Mb PDF
Copyright Undertaking
As a bona fide Library user, I declare that:
  1. I will abide by the rules and legal ordinances governing copyright regarding the use of the Database.
  2. I will use the Database for the purpose of my research or private study only and not for circulation or further reproduction or any other purpose.
  3. I agree to indemnify and hold the University harmless from and against any loss, damage, cost, liability or expenses arising from copyright infringement or unauthorized usage.
By downloading any item(s) listed above, you acknowledge that you have read and understood the copyright undertaking as stated above, and agree to be bound by all of its terms.

     

Quick Search

Browse

More Information