Text mining for biomedicine

Sophia Ananiadou

doi:10.4018/978-1-60566-274-9.ch001

Text mining for biomedicine

Research output: Chapter in Book/Conference proceeding › Foreword/postscript

Abstract

Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United Kingdom National Centre for Text Mining. © 2009, IGI Global.

Original language	English
Title of host publication	Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration\|Info. Retr. in Biomed.: Nat. Lang. Proc. for Knowledge Intgn.
Publisher	IGI Press
Pages	1-9
Number of pages	8
DOIs	https://doi.org/10.4018/978-1-60566-274-9.ch001
Publication status	Published - 2009

Access to Document

10.4018/978-1-60566-274-9.ch001

Cite this

@inbook{5475d3f5926b4e9c886108b2c26737f9,

title = "Text mining for biomedicine",

abstract = "Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United Kingdom National Centre for Text Mining. {\textcopyright} 2009, IGI Global.",

author = "Sophia Ananiadou",

year = "2009",

doi = "10.4018/978-1-60566-274-9.ch001",

language = "English",

pages = "1--9",

booktitle = "Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration|Info. Retr. in Biomed.: Nat. Lang. Proc. for Knowledge Intgn.",

publisher = "IGI Press",

address = "United States",

}

TY - CHAP

T1 - Text mining for biomedicine

AU - Ananiadou, Sophia

PY - 2009

Y1 - 2009

N2 - Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United Kingdom National Centre for Text Mining. © 2009, IGI Global.

AB - Text mining provides the automated means to manage information overload and overlook. By adding meaning to text, text mining techniques produce a much more structured analysis of textual knowledge than do simple word searches, and can provide powerful tools for knowledge discovery in biomedicine. In this chapter, the author focus on the text mining services for biomedicine offered by the United Kingdom National Centre for Text Mining. © 2009, IGI Global.

U2 - 10.4018/978-1-60566-274-9.ch001

DO - 10.4018/978-1-60566-274-9.ch001

M3 - Foreword/postscript

SP - 1

EP - 9

BT - Information Retrieval in Biomedicine: Natural Language Processing for Knowledge Integration|Info. Retr. in Biomed.: Nat. Lang. Proc. for Knowledge Intgn.

PB - IGI Press

ER -

Text mining for biomedicine

Abstract

Access to Document

Fingerprint

Cite this