Document-Self Expansion for Text Categorization

Yuen Hsien Tseng; Da Wei Juang

doi:10.1145/860435.860520

Document-Self Expansion for Text Categorization

Yuen Hsien Tseng^*, Da Wei Juang

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

4 Citations (Scopus)

Abstract

Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.

Original language	English
Pages (from-to)	399-400
Number of pages	2
Journal	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
Issue number	SPEC. ISS.
DOIs	https://doi.org/10.1145/860435.860520
Publication status	Published - 2003
Externally published	Yes
Event	Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., Canada Duration: 2003 Jul 28 → 2003 Aug 1

Keywords

And effectiveness
Document expansion
Text categorization

ASJC Scopus subject areas

Management Information Systems
Hardware and Architecture

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10.1145/860435.860520

Cite this

@article{04c72ab3d0824860b43a146c03ac57ba,

title = "Document-Self Expansion for Text Categorization",

abstract = "Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.",

keywords = "And effectiveness, Document expansion, Text categorization",

author = "Tseng, {Yuen Hsien} and Juang, {Da Wei}",

year = "2003",

doi = "10.1145/860435.860520",

language = "English",

pages = "399--400",

journal = "SIGIR Forum (ACM Special Interest Group on Information Retrieval)",

issn = "0163-5840",

publisher = "Association for Computing Machinery (ACM)",

number = "SPEC. ISS.",

note = "Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 ; Conference date: 28-07-2003 Through 01-08-2003",

}

TY - JOUR

T1 - Document-Self Expansion for Text Categorization

AU - Tseng, Yuen Hsien

AU - Juang, Da Wei

PY - 2003

Y1 - 2003

N2 - Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.

AB - Approaches to increase training examples to hopefully improve classification effectiveness are proposed in this work. The approaches were verified by use of two Chinese collections classified by two top-performing classifiers.

KW - And effectiveness

KW - Document expansion

KW - Text categorization

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UR - http://www.scopus.com/inward/citedby.url?scp=1542347744&partnerID=8YFLogxK

U2 - 10.1145/860435.860520

DO - 10.1145/860435.860520

M3 - Conference article

AN - SCOPUS:1542347744

SN - 0163-5840

SP - 399

EP - 400

JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

IS - SPEC. ISS.

T2 - Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003

Y2 - 28 July 2003 through 1 August 2003

ER -

Document-Self Expansion for Text Categorization

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

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