2.50
Hdl Handle:
http://hdl.handle.net/2436/26893
Title:
Automated Web issue analysis: A nurse prescribing case study
Authors:
Thelwall, Mike; Thelwall, Saheeda; Fairclough, Ruth
Abstract:
Web issue analysis, a new automated technique designed to rapidly give timely management intelligence about a topic from an automated large-scale analysis of relevant pages from the Web, is introduced and demonstrated. The technique includes hyperlink and URL analysis to identify common direct and indirect sources of Web information. In addition, text analysis through natural language processing techniques is used identify relevant common nouns and noun phrases. A case study approach is taken, applying Web issue analysis to the topic of nurse prescribing. The results are presented in descriptive form and a qualitative analysis is used to argue that new information has been found. The nurse prescribing results demonstrate interesting new findings, such as the parochial nature of the topic in the UK, an apparent absence of similar concepts internationally, at least in the English-speaking world, and a significant concern with mental health issues. These demonstrate that automated Web issue analysis is capable of quickly delivering new insights into a problem. General limitations are that the success of Web issue analysis is dependant upon the particular topic chosen and the ability to find a phrase that accurately captures the topic and is not used in other contexts, as well as being language-specific.
Citation:
Information Processing & Management, 42 (6): 1471-1483
Publisher:
Elsevier
Journal:
Information Processing & Management
Issue Date:
2006
URI:
http://hdl.handle.net/2436/26893
DOI:
10.1016/j.ipm.2006.03.011
Additional Links:
http://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VC8-4JYTS1B-1&_user=1644469&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000054077&_version=1&_urlVersion=0&_userid=1644469&md5=5c73e3382e7e6d0d7a4f4062263b4f3f
Type:
Article
Language:
en
ISSN:
03064573
Appears in Collections:
Statistical Cybermetrics Research Group ; Statistical Cybermetrics Research Group

Full metadata record

DC FieldValue Language
dc.contributor.authorThelwall, Mike-
dc.contributor.authorThelwall, Saheeda-
dc.contributor.authorFairclough, Ruth-
dc.date.accessioned2008-05-19T16:10:52Z-
dc.date.available2008-05-19T16:10:52Z-
dc.date.issued2006-
dc.identifier.citationInformation Processing & Management, 42 (6): 1471-1483en
dc.identifier.issn03064573-
dc.identifier.doi10.1016/j.ipm.2006.03.011-
dc.identifier.urihttp://hdl.handle.net/2436/26893-
dc.description.abstractWeb issue analysis, a new automated technique designed to rapidly give timely management intelligence about a topic from an automated large-scale analysis of relevant pages from the Web, is introduced and demonstrated. The technique includes hyperlink and URL analysis to identify common direct and indirect sources of Web information. In addition, text analysis through natural language processing techniques is used identify relevant common nouns and noun phrases. A case study approach is taken, applying Web issue analysis to the topic of nurse prescribing. The results are presented in descriptive form and a qualitative analysis is used to argue that new information has been found. The nurse prescribing results demonstrate interesting new findings, such as the parochial nature of the topic in the UK, an apparent absence of similar concepts internationally, at least in the English-speaking world, and a significant concern with mental health issues. These demonstrate that automated Web issue analysis is capable of quickly delivering new insights into a problem. General limitations are that the success of Web issue analysis is dependant upon the particular topic chosen and the ability to find a phrase that accurately captures the topic and is not used in other contexts, as well as being language-specific.en
dc.language.isoenen
dc.publisherElsevieren
dc.relation.urlhttp://www.sciencedirect.com/science?_ob=ArticleURL&_udi=B6VC8-4JYTS1B-1&_user=1644469&_rdoc=1&_fmt=&_orig=search&_sort=d&view=c&_acct=C000054077&_version=1&_urlVersion=0&_userid=1644469&md5=5c73e3382e7e6d0d7a4f4062263b4f3fen
dc.subjectWeben
dc.subjectAutomated Web issue analysisen
dc.subjectLink analysisen
dc.subjectNurse prescribingen
dc.subjectMedical informaticsen
dc.titleAutomated Web issue analysis: A nurse prescribing case studyen
dc.typeArticleen
dc.identifier.journalInformation Processing & Managementen
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