Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications

Volume: 82, Issue: 2, Pages: 289 - 306
Published: Jun 10, 2009
Abstract
In this study, we examine and validate the use of existing text mining techniques (based on the vector space model and latent semantic indexing) to detect similarities between patent documents and scientific publications. Clearly, experts involved in domain studies would benefit from techniques that allow similarity to be detected—and hence facilitate mapping, categorization and classification efforts. In addition, given current debates on the...
Paper Details
Title
Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications
Published Date
Jun 10, 2009
Volume
82
Issue
2
Pages
289 - 306
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