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

T. Magerman; Bart van Looy; X. Song

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

T. Magerman, Bart van Looy, X. Song

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	289-306
Journal	Scientometrics
Volume	82
Issue number	2
Publication status	Published - 2010

Keywords

METIS-273890

Cite this

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

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author = "T. Magerman and {van Looy}, Bart and X. Song",

year = "2010",

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volume = "82",

pages = "289--306",

journal = "Scientometrics",

issn = "0138-9130",

publisher = "Springer",

number = "2",

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T1 - Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications.

AU - Magerman, T.

AU - van Looy, Bart

AU - Song, X.

PY - 2010

Y1 - 2010

KW - METIS-273890

M3 - Article

VL - 82

SP - 289

EP - 306

JO - Scientometrics

JF - Scientometrics

SN - 0138-9130

IS - 2

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