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作 者:王益成 蒋星宇 秦晴 刘雨农 郑彦宁[2] Wang Yicheng;Jiang Xingyu;Qin Qing;Liu Yunong;Zheng Yanning(School of Management Science and Engineering,Anhui University of Finance and Economics,Bengbu 233030;Institute of Scientific and Technical Information of China,Beijing 100038)
机构地区:[1]安徽财经大学管理科学与工程学院,蚌埠233030 [2]中国科学技术信息研究所,北京100038
出 处:《情报学报》2025年第2期234-245,共12页Journal of the China Society for Scientific and Technical Information
基 金:安徽省教育厅人文科学研究项目“面向科技循证决策的智慧情报服务方案研究”(2022AH050557);国家重点研发计划课题“全球创新主体创新感知系统”(2019YFA0707203)。
摘 要:通过投融资事件识别领域技术主题并分析其演化趋势,对于科技界、金融界和企业界进行投融资规划与技术创新具有重要意义。首先,使用BERTopic静态主题模型抽取特征词,通过HDBSCAN算法生成主题簇;其次,使用c-TF-IDF算法从主题簇中提取主题特征词,结合生物技术专业知识及融资企业官网技术细节描述命名技术主题;再其次,利用可视化技术构建技术主题演化路径可视化图谱,通过可视化图谱分析技术主题演化趋势;最后,通过生物技术领域投融资事件语料分析,比较不同技术主题在资本市场中的热度,拓展技术主题识别方法研究及实践应用。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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