Bhatt, Priyanka Chand, Huang, Yu-Chun, Lai, Kuei-Kuei and Drave, Vinayak A.
(2025)
Technology convergence assessment by an integrated approach of BERT Topic Modeling and Association Rule Mining.
IEEE Transactions on Engineering Management.
ISSN 1558-0040
Abstract
The rapid evolution of technology necessitates advanced methods to assess and understand emerging innovations. As formal documents record inventions, patents provide rich data for analyzing technological advancements. This study employs text mining and data mining techniques to analyze patent data, focusing on technology convergence and innovation trends in e-payment technological domain. Using BERT (Bidirectional Encoder Representations from Transformers) topic modeling, patent abstracts are classified into distinct thematic areas, uncovering hidden patterns and thematic landscapes of technological domains. International Patent Classification codes categorize these patents, facilitating the identification of technological convergence through Association Rule Mining. The study integrates these methods, addressing gaps in previous research by providing a comprehensive analysis of technological evolution and convergence. The research aims to propose a Convergence Indicator, to highlight heterogeneous technological convergence. The limitations of study rely on patent data, suggesting future research incorporate additional data sources for a more holistic view of technological convergence. The findings underscore the potential of integrating text mining and data mining techniques in technology assessment, contributing to the understanding of technological evolution and convergence dynamics.
Item Type: | Article |
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Keywords: | Patents | Convergence | Data mining | Technological innovation | Encoding | Bidirectional control | Association rule learning | Text mining | Codes | Industries |
Subjects: | Social Sciences and humanities > Decision Sciences > Information Systems and Management Physical, Life and Health Sciences > Computer Science Physical, Life and Health Sciences > Engineering and Technology |
JGU School/Centre: | Jindal Global Business School |
Depositing User: | Mr. Gautam Kumar |
Date Deposited: | 01 May 2025 09:57 |
Last Modified: | 01 May 2025 10:38 |
Official URL: | https://ieeexplore.ieee.org/document/10964760/auth... |
Funders: | National Science and Technology Council, Taiwan (Grant Number: NSTC 113-2811-H-324-001) |
URI: | https://pure.jgu.edu.in/id/eprint/9427 |
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