Text Mining to Measure Novelty and Diffusion of Technological Innovation

Sam Arts, Jianan Hou, Juan Carlos Gomez. Text Mining to Measure Novelty and Diffusion of Technological Innovation. In Giuseppe Catalano, Cinzia Daraio, Martina Gregori, Henk F. Moed, Giancarlo Ruocco, editors, Proceedings of ISSI 2019 Rome: 17th International Society of Scientometrics and Informetrics Conference, Rome, Italy, 2-5 September, 2019, Rome, Italy, September 2-5, 2019. pages 1798-1800, Edizioni Efesto, 2019.

@inproceedings{ArtsHG19,
  title = {Text Mining to Measure Novelty and Diffusion of Technological Innovation},
  author = {Sam Arts and Jianan Hou and Juan Carlos Gomez},
  year = {2019},
  researchr = {https://researchr.org/publication/ArtsHG19},
  cites = {0},
  citedby = {0},
  pages = {1798-1800},
  booktitle = {Proceedings of ISSI 2019 Rome: 17th International Society of Scientometrics and Informetrics Conference, Rome, Italy, 2-5 September, 2019, Rome, Italy, September 2-5, 2019},
  editor = {Giuseppe Catalano and Cinzia Daraio and Martina Gregori and Henk F. Moed and Giancarlo Ruocco},
  publisher = {Edizioni Efesto},
  isbn = {978-88-3381-118-5},
}