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Exploring the nanobody patent landscape: a focus on BCMA sequences and structural analysis. [PDF]
MAbsXu J, Wang Y, Yuan N, Hu G, Hu Y.
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Evolution of AI enabled healthcare systems using textual data with a pretrained BERT deep learning model. [PDF]
Sci RepWang YJ, Choo WC, Ng KY, Bi R, Wang PW.
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Automated classification of patents: A topic modeling approach
Computers and Industrial Engineering, 2020Abstract Due to the rapid increase in technological innovation and corresponding increase in patent applications, automatic patent classification systems are very helpful for both individual inventors and patent attorneys in classifying patents. However, previous studies have neglected the question of what content patents include and how to represent
Youngjung Geum
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Topic based classification and pattern identification in patents
Technological Forecasting and Social Change, 2015Patent classification systems and citation networks are used extensively in innovation studies. However, non-unique mapping of classification codes onto specific products/markets and the difficulties in accurately capturing knowledge flows based just on citation linkages present limitations to these conventional patent analysis approaches. We present a
Subhashini Venugopalan, Varun Rai
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A novel method for topic linkages between scientific publications and patents
Journal of the Association for Information Science and Technology, 2019It is increasingly important to build topic linkages between scientific publications and patents for the purpose of understanding the relationships between science and technology. Previous studies on the linkages mainly focus on the analysis of nonpatent references on the front page of patents, or the resulting citation‐link networks, but with ...
Shuo Xu, Feifei Wang, Xin An
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Scientometrics, 2018
Patent and scientific literature are the fundamental sources of innovation in knowledge creation and transfer activities. Establishing and understanding the complex relationships between them can help scientists and stakeholders to predict and promote the innovation process.
Yujia Zhai, Ying Ding, Zhu Na
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Patent and scientific literature are the fundamental sources of innovation in knowledge creation and transfer activities. Establishing and understanding the complex relationships between them can help scientists and stakeholders to predict and promote the innovation process.
Yujia Zhai, Ying Ding, Zhu Na
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Topic and influence analysis on technological patents related to security vulnerabilities
Computers and Security, 2023Konstantinos Charmanas +2 more
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Recommending patents based on latent topics
Proceedings of the 7th ACM conference on Recommender systems, 2013The availability of large volumes of granted patents and applications, all publicly available on the Web, enables the use of sophisticated text mining and information retrieval methods to facilitate access and analysis of patents. In this paper we investigate techniques to automatically recommend patents given a query patent.
Ralf Krestel, Padhraic Smyth
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A Cross-lingual Patent Topics Model for Trend Analysis
2020 International Computer Symposium (ICS), 2020Patent data represents one of the most important innovation indicators to evaluate technological trends. With the rapid growth of business globalization in recent decades, managing an increasing volume of patent documents written in different languages has become inevitably important for identifying new technological trends and industrial innovations ...
Yu Tsou, Deng-Neng Chen, Chia-Yu Lai
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