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

Tom Magerman, Bart Van Looy, Xiaoyan Song. Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications. Scientometrics, 82(2):289-306, 2010. [doi]

@article{MagermanLS10,
  title = {Exploring the feasibility and accuracy of Latent Semantic Analysis based text mining techniques to detect similarity between patent documents and scientific publications},
  author = {Tom Magerman and Bart Van Looy and Xiaoyan Song},
  year = {2010},
  doi = {10.1007/s11192-009-0046-6},
  url = {http://dx.doi.org/10.1007/s11192-009-0046-6},
  tags = {analysis},
  researchr = {https://researchr.org/publication/MagermanLS10},
  cites = {0},
  citedby = {0},
  journal = {Scientometrics},
  volume = {82},
  number = {2},
  pages = {289-306},
}