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SYSTEM AND METHOD FOR GENERATING PREDICTION OF TECHNOLOGY TRANSFER BASE ON MACHINE LEARNING

机译:用于在机器学习中产生技术转移基础预测的系统和方法

摘要

The method for generating a technology transfer prediction model based on machine learning according to the present invention includes the steps of: (a) collecting patent data necessary for a data collection unit to generate a technology transfer prediction model; (b) classifying the patent data into numerical data and text data by a data classification unit; (c) a pre-processing step of allowing the data pre-processing module to analyze text data, which is unstructured data among the patent data; And (d) the technology transfer prediction model configuration module receives numerical data and preprocessed text data, performs topic modeling in which a technology topic is extracted from the text data through an ensemble model, and ensembles modeling with the technology topic and numerical data. It has the effect of objectively and easily evaluating the possibility of technology transfer to the population through the collected patent data, including the step of generating a technology transfer prediction model by performing it.
机译:根据本发明的基于机器学习的生成技术传递预测模型的方法包括以下步骤:(a)收集数据收集单元生成技术传输预测模型所需的专利数据; (b)通过数据分类单元将专利数据分类为数值数据和文本数据; (c)预处理步骤,允许数据预处理模块分析文本数据,这是专利数据中的非结构化数据; (D)技术传输预测模型配置模块接收数值数据和预处理的文本数据,执行主题建模,其中通过集合模型从文本数据中提取技术主题,并与技术主题和数字数据建模。它具有客观且容易地通过收集的专利数据转移到人群的可能性的效果,包括通过执行技术产生技术转移预测模型的步骤。

著录项

  • 公开/公告号KR102224684B1

    专利类型

  • 公开/公告日2021-03-09

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR1020190078907

  • 发明设计人 박상성;이준석;

    申请日2019-07-01

  • 分类号G06Q10/06;G06F40/20;G06Q10/04;

  • 国家 KR

  • 入库时间 2022-08-24 17:35:04

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