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| Research on Technology Theme Identification Based on Investment and Financing Events —Using Biotechnology as an Example |
| Wang Yicheng1,2, Jiang Xingyu1, Qin Qing2, Liu Yunong2, Zheng Yanning2 |
1.School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu 233030
2.Institute of Scientific and Technical Information of China, Beijing 100038 |
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Abstract Identifying technical themes in a field through investment and financing events and analyzing their evolutionary trends is of great significance for investment planning and technological innovation in the science, finance, and business sectors. First, feature words were extracted using the BERTopic static topic model, and theme clusters were generated using the HDBSCAN (hierarchical density-based spatial clustering of applications with noise) algorithm. The c-TF-IDF algorithm was then employed to extract thematic feature words from these clusters. Combining this with technical details from the websites of financing companies, technical themes were named based on biotechnology expertise. Visualization techniques were used to construct a map of the evolution paths of these technical themes, allowing for analysis of their evolutionary trends. Finally, by analyzing the corpus of investment and financing events in the biotechnology field, the popularity levels of different technical themes in the capital market were compared, expanding methods of study for identifying technological topics.
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Received: 29 October 2024
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