TY - JOUR
T1 - MEASURING PATENT NOVELTY USING NATURAL LANGUAGE PROCESSING
AU - Yassine, Ali
AU - Lipizzi, Carlo
N1 - Publisher Copyright:
© The Author(s), 2023. Published by Cambridge University Press.
PY - 2023
Y1 - 2023
N2 - This paper develops a novelty measure for patents. We devise a text-based novelty measure using natural language processing (NLP) techniques. The proposed method is applied on patents that belong to a common category, which represents a subset of patents under a specific patent class. We then extract the novelty-value profile of those patents and discuss a use case for product design and development (i.e., extracting patent novelty and predicting inventive value).
AB - This paper develops a novelty measure for patents. We devise a text-based novelty measure using natural language processing (NLP) techniques. The proposed method is applied on patents that belong to a common category, which represents a subset of patents under a specific patent class. We then extract the novelty-value profile of those patents and discuss a use case for product design and development (i.e., extracting patent novelty and predicting inventive value).
KW - Machine learning
KW - New product development
KW - Open source design
UR - http://www.scopus.com/inward/record.url?scp=85165514989&partnerID=8YFLogxK
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U2 - 10.1017/pds.2023.261
DO - 10.1017/pds.2023.261
M3 - Conference article
AN - SCOPUS:85165514989
VL - 3
SP - 2605
EP - 2614
JO - Proceedings of the Design Society
JF - Proceedings of the Design Society
T2 - 24th International Conference on Engineering Design, ICED 2023
Y2 - 24 July 2023 through 28 July 2023
ER -