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System and method for patent information word embedding based on deep learning
System and method for patent information word embedding based on deep learning
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机译:基于深度学习的专利信息词嵌入系统及方法
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摘要
A deep learning-based patent information word embedding method and system thereof are disclosed. In the deep learning-based patent information word embedding method, the noise detection system constructs a word-to-vector engine or a centen-to-vector engine through deep learning of patent documents from the patent information DB, and the noise detection system is the patent desired by the user. Receiving a search condition for searching a document, specifying a raw data patent list including patent list data corresponding to the search condition received by the noise detection system, and the noise detection system being included in a specific patent list Converting each of the patent documents into a word vector set or a sense vector set through a word to vector engine or a sense to vector engine, and the patent list based on the converted word vector set or sense vector set for each patent document It includes the step of detecting a noise document among the patent documents included in.
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