A New Way to Find: Testing the Use of Clustering Topics in Digital Libraries

Describes two methods used to research the issue of how useful a topic modeling algorithm to find relevant materials in a large corpus of textual items is to end-users, utilising an instance of HathiTrust containing a snapshot of art, architecture and art history records from early 2010. Source: Nat...

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Bibliographic Details
Published inD-Lib magazine Vol. 17; no. 9/10
Main Authors Hagedorn, Kat, Kargela, Michael, Noh, Youn, Newman, David
Format Journal Article
LanguageEnglish
Published 01.09.2011
Subjects
Algorithms
Archives
Automatic text analysis
Clustering
Computer algorithms
Digital libraries
Digital media
Electronic information resource searching
History
Subject heading schemes
Topic distillation (Internet searching)
Usability
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Summary:Describes two methods used to research the issue of how useful a topic modeling algorithm to find relevant materials in a large corpus of textual items is to end-users, utilising an instance of HathiTrust containing a snapshot of art, architecture and art history records from early 2010. Source: National Library of New Zealand Te Puna Matauranga o Aotearoa, licensed by the Department of Internal Affairs for re-use under the Creative Commons Attribution 3.0 New Zealand Licence.
Bibliography:Includes illustrations, references, tables
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
ISSN:1082-9873
1082-9873
DOI:10.1045/september2011-hagedorn