Linking innovations and patents - a machine learning assisted method

17 Pages Posted: 14 Jun 2022

See all articles by Mathias Johansson

Mathias Johansson

Lund University

Jakob Nyqvist

affiliation not provided to SSRN

Josef Taalbi

Lund University

Date Written: June 3, 2022

Abstract

This paper describes the methodology behind the matching of patents and a literature-based innovation output indicator (LBIO) collected from trade journals covering the manufacturing and ICT service sectors in Sweden 1970-2015. A combination of manual processing and simple machine learning tools has enabled the identification, classification and linking of patents that otherwise would have been very difficult for either of the methods to detect on its own.
Data generated using this method can be used to assess many aspects of the relationship between patenting, knowledge accumulation and innovation activity.

Keywords: Innovation, Patents, Machine-learning, LBIO

Suggested Citation

Johansson, Mathias and Nyqvist, Jakob and Taalbi, Josef, Linking innovations and patents - a machine learning assisted method (June 3, 2022). Available at SSRN: https://ssrn.com/abstract=4127194 or http://dx.doi.org/10.2139/ssrn.4127194

Mathias Johansson

Lund University ( email )

Box 117
Lund, SC Skane S221 00
Sweden

Jakob Nyqvist

affiliation not provided to SSRN

Josef Taalbi (Contact Author)

Lund University ( email )

Box 117
Lund, SC Skane S221 00
Sweden

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