Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis

Wang, Jinfeng; Cheng, Lu; Feng, Lijie; Lin, Kuo-Yi; Zhang, Luyao; Zhao, Weiyu

doi:10.1016/j.aei.2023.102177

Cited by 11 publications

(2 citation statements)

References 102 publications

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“…The distribution and evolution of different technical topics are revealed by analyzing keywords, technical terms, invention abstracts, and other information in patent documents [26]. For example, Wang et al [10] used the LDA topic model to identify communication technology topics from patent titles and abstracts. They incorporated an institution-topic probability hierarchy to ascertain the distribution probabilities of competing enterprises within each topic and their technological standing.…”

Section: Literature Reviewmentioning

confidence: 99%

Core Technology Topic Identification and Evolution Analysis Based on Patent Text Mining—A Case Study of Unmanned Ship

Lin,

Wang,

Yang

et al. 2024

Applied Sciences

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Accurate identification and evolutionary analysis of core technology topics within patent texts play a crucial role in enabling enterprises to discern the development trajectory of core technologies, optimize research and development (R&D) strategies, and foster technological innovation. Based on the perspective of time series dynamic analysis, this study uses the Latent Dirichlet Allocation (LDA) topic modeling and TF-IDF text vectorization methods to comprehensively mine and identify patent technology topics in the field of unmanned ships. This study deeply analyzes the dynamic evolution of unmanned ship technology topics from two aspects: the evolution of technology theme intensity and the evolution of technology theme content. We refine the development characteristics and future development directions of unmanned ship technology. The findings reveal two hot technologies, six growth technologies, and six declining technologies in unmanned ship technology. Furthermore, the analysis of technical topic evolution illustrates a pattern of fragmentation, inheritance, and integration. This study advances the methodologies used for identifying and analyzing patent technology topics and helps to grasp the development rules and evolutionary trends of core technologies. In addition, this paper has reference value for the research and practice of core technology topic identification and evolution analysis methods based on patent text mining.

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Section: Literature Reviewmentioning

confidence: 99%

Core Technology Topic Identification and Evolution Analysis Based on Patent Text Mining—A Case Study of Unmanned Ship

Lin,

Wang,

Yang

et al. 2024

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…As the rotary parts industry has become more data-driven for operations and maintenance, data-driven decision-making techniques have become increasingly prevalent. In a study involving multiview and multilayer patent analysis, Wang et al, [23] examined the relationship between artificial intelligence and wind power regarding tracking and predicting its technology knowledge interactions. Fault diagnosis techniques fall into two categories: data-driven and model-based.…”

Section: Introductionmentioning

confidence: 99%