Abstract
Patent analysis is to analyze patent data to understand target technology. Patent data contains various detailed information about the developed technology. Therefore, many studies concerning patent analysis have been carried out in the technology analysis fields. Most traditional methods for technology analysis were based on qualitative approaches such as Delphi survey. However, the patent analysis methods based on statistics and machine learning have been introduced recently. In this paper, we proposed a statistical method for quantitative patent analysis. Moreover, we selected drone technology as the target technology for patent analysis. To understand drone technology, we analyzed the patents on drone technology. We searched the patent documents related to drone technology and transformed them to structured data using text mining techniques. First, we visualized the patent keywords to identify the technological structure of a drone. Next, using Bayesian additive regression trees, we analyzed the structured patent data to construct technology scenarios for drones. To illustrate the performance and validity of our proposed research, we presented the experimental results of patent analysis using patent documents related to drone technology.
Highlights
Patent analysis is to analyze the patent documents related to target technology using data analysis methods based on statistics and machine learning
To verify the performance and validity of our research, we showed how the proposed methodology can be applied to the practical domain using the patent documents collected from the patent databases such as the United States Patent and Trademark Office (USPTO), WIPS Corporation (WIPSON), and the Korea Intellectual
We built the patent document–keyword matrix using text mining techniques. This matrix is used for quantitative patent analysis using visualization and Bayesian data analysis
Summary
Patent analysis is to analyze the patent documents related to target technology using data analysis methods based on statistics and machine learning. The aim of patent analysis is to understand the target technology using the results of patent document analysis. We selected drone technology, which is rapidly spreading recently, as a target technology for the proposed patent analysis method. Tejado-Ramos et al (2021) used drone remote sensing technology to enhance the sustainability of wolfram mining. They performed an effective exploration of the mine using the drone remote sensing technology [6]. As the demand of the public sector as well as the private continues to expand with the development of unmanned aerial vehicle technology, the commercial use of drones and the demand for personal flying vehicles are expected to increase [1,8]. Nouacer et al (2020) emphasized technological importance of object detection and avoidance, management of air traffic, control, and security for the development of drone system
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