面向投资机构投资偏好的企业专利匹配数据

数据以企业名为单位，从专利申请量，有效量，失效量、产业分布和占比情况，专利质量和价值情况，专利运营和获奖情况进行分析，按照自有模型对结果进行评价分级，挖掘形成投资偏好匹配数据，通过该数据可精准分析对象企业的创新情况和水平，为投融资提供参考。

The dataset is organized at the enterprise level, with each entry corresponding to a specific enterprise. It conducts comprehensive analysis across multiple dimensions: the number of patent applications, valid patents, lapsed patents, industrial distribution and its proportional share, patent quality and value, as well as patent operations and award-winning honors. The analysis results are evaluated and graded using the dataset's proprietary model, and investment preference matching data is derived through data mining. This dataset enables precise assessment of the innovation status and competency of target enterprises, providing valuable references for investment and financing practices.

搜集汇总

数据集介绍

特点

该数据集主要面向投资机构，通过分析企业的专利申请量、有效量、失效量、产业分布、专利质量和价值等信息，按照自有模型进行评价分级，形成投资偏好匹配数据。这些数据可用于投融资机构的项目挖掘和可行性分析，帮助企业精准分析创新情况和水平，为投资决策提供参考。数据格式为CSV。