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

^*此作品的通信作者

研究成果: 雜誌貢獻 › 會議論文 › 同行評審

4 引文斯高帕斯（Scopus）

摘要

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.

原文	英語
頁（從 - 到）	399-400
頁數	2
期刊	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
發行號	SPEC. ISS.
DOIs	https://doi.org/10.1145/860435.860520
出版狀態	已發佈 - 2003
對外發佈	是
事件	Proceedings of the Twenty-Sixth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2003 - Toronto, Ont., 加拿大持續時間: 2003 7月 28 → 2003 8月 1

ASJC Scopus subject areas

管理資訊系統
硬體和架構

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10.1145/860435.860520

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引用此

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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",

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",

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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

UR - https://www.scopus.com/pages/publications/1542347744

UR - https://www.scopus.com/pages/publications/1542347744#tab=citedBy

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

摘要

ASJC Scopus subject areas

存取文件

其它文件與鏈接

指紋

引用此