Open AccessMapping subsets of scholarly information
Author(s) -
Paul Ginsparg,
Paul Houle,
Thorsten Joachims,
Jae-Hoon Sul
Publication year - 2004
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.0308253100
Subject(s) - data science , field (mathematics) , computer science , information retrieval , world wide web , natural language processing , artificial intelligence , mathematics , pure mathematics
We illustrate the use of machine learning techniques to analyze, structure, maintain, and evolve a large online corpus of academic literature. An emerging field of research can be identified as part of an existing corpus, permitting the implementation of a more coherent community structure for its practitioners.
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