Discovering and visualizing interdisciplinary content classes in scientific publications

Details a method for discovering interdisciplinary research efforts through a supervised text classification and visualisation technique. Focuses on visualising funding-specific scientific corpora in a supervised context and discovering interclass similarities which indicate the existence of inter-d...

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Bibliographic Details
Published inD-Lib magazine Vol. 20; no. 11
Main Author Giannakopoulos, Theodoros
Format Journal Article
LanguageEnglish
Published 01.11.2014
Subjects
Data mining
Data processing
Information visualization
Interdisciplinary research
Scholarly electronic publishing
Science publishing
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Summary:Details a method for discovering interdisciplinary research efforts through a supervised text classification and visualisation technique. Focuses on visualising funding-specific scientific corpora in a supervised context and discovering interclass similarities which indicate the existence of inter-disciplinary research, achieved through training a supervised classification-visualisation model based on the arXiv classification system. 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, portrait, references, tables
Includes links to related electronic resources
ISSN:1082-9873
1082-9873
DOI:10.1045/november14-giannakopoulos