Abstract
Innovation trends are a crucial factor in determining one country’s industrial development, and with the progress of modern machine learning technology, many are studying patent document analysis. People consider patents to contain important information for analyzing the innovation process, but patents contain much complicated jargon, and the methods for extracting information were limited. The authors applied the document analysis and visualization method newly proposed in the previous research and tried to compare the innovation process for patent documents as a whole within a certain period between Japan and the United States. As a result, we realized that in the 15 years, the topic vibration in Japan is more stable than in the US, and the contents in US patents are more concentrated than those in Japan.
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Chen, Z., Matsumoto, Y., Suge, A., Takahashi, H. (2021). The Visualization of Innovation Pathway Based on Patent Data—Comparison Between Japan and America. In: Jezic, G., Chen-Burger, J., Kusek, M., Sperka, R., Howlett, R.J., Jain, L.C. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2021. Smart Innovation, Systems and Technologies, vol 241. Springer, Singapore. https://doi.org/10.1007/978-981-16-2994-5_22
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DOI: https://doi.org/10.1007/978-981-16-2994-5_22
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