| 孙翔宇1 刘建波2 魏 超2 孙 欣2 王伟楠3.技术市场交易热点扫描——以医疗器械领域为例[J].中国科技资源导刊,2024,(2):73~83 |
| 技术市场交易热点扫描——以医疗器械领域为例 |
| Scanning of Technology Market Trading Hotspots—Take the Medical Device Field as an Example |
| 投稿时间：2023-07-26 |
| DOI： |
| 中文关键词: 技术市场；交易热点；扫描模型；产业研究；科技创新 |
| 英文关键词: technology market, transaction hotspot, scanning model, industrial research, technological innovation |
| 基金项目:国家高端智库课题项目“新时代创新驱动县域高质量发展研究”（ZXZK202206） |
| 作者 | 单位 | | 孙翔宇1 刘建波2 魏 超2 孙 欣2 王伟楠3 | （1. 工业和信息化部火炬高技术产业开发中心，北京 100036；2. 中国科学技术信息研究所，北京 100083；3. 中国科学技术发展战略研究院，北京 100083） |
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| 中文摘要: |
| 市场交易数据具有专业性强、语义复杂度高且主客观信息混杂等特点，致使面向技术市场的情报要素繁杂，因此需要构建一套深层次、细粒度的情报扫描体系，以支撑科技创新和产业发展研究。利用综合评价体系、深度学习模型和管理学原理提出技术市场交易热点扫描模型。首先，将熵权法与复杂多维的交易数据相结合，构建交易热度综合评价模型；其次，构造BiLSTM+LAC联合实体识别模型，从众多上下关联、相互依赖的文本数据中自动识别交易对象；最后，依据帕累托法则开展交易热点扫描。利用上述模型对技术市场医疗器械领域进行交易热点扫描，其结果与资料调研相吻合。由此说明，这个扫描模型能够合理地识别技术市场交易热点，对技术市场建设和产业布局研究具有借鉴意义。 |
| 英文摘要: |
| Market transaction data has the characteristics of strong professionalism, high semantic complexity,and mixed subjective and objective information, which makes the intelligence elements for the technology market complex. It is necessary to build a deep and fine-grained intelligence scanning system to support scientific and technological innovation and industrial development research. By this, the research uses a comprehensive evaluation system, deep learning model and management principles to first propose a hot spot scanning model for technology market transactions. Firstly, the entropy weight method is combined with complex and multi-dimensional transaction data to construct a comprehensive evaluation model of transaction heat; Secondly, the BiLSTM+LAC joint entity recognition model is constructed to automatically identify transaction objects from numerous contextual and interdependent text data; Finally, the transaction hotspots scanning is carried out according to the Pareto Principle. Through the above model, the transaction hotspots in the medical device field of the technology market are scanned, and the results are consistent with the data survey. Therefore, the scanning model proposed in this paper can reasonably identify the hot spots of technology market transactions, which is of great significance to the technology market construction and industrial layout research. |
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