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

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

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.",

keywords = "METIS-273890",

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

year = "2010",

language = "English",

volume = "82",

pages = "289--306",

journal = "Scientometrics",

issn = "0138-9130",

publisher = "Springer",

number = "2",

}

TY - JOUR

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

SN - 0138-9130

VL - 82

SP - 289

EP - 306

JO - Scientometrics

JF - Scientometrics

IS - 2

ER -