Patent Topic Evolution Based on LDA and Deep Models
The named entity recognition method based on the depth model is combined with the topic mining method based on the LDA model to analyze the evolution of patented technical subjects,so as to meet the needs of users and enterprises to quickly find the main technical methods and hot research fields from many patents.Taking the epoxy resin patent as an example,the entity identification of related compounds and preparation technologies based on deep learning is carried out,and the domain dictionary is constructed in a semi-automatic way.The improved LDA model is used to model,and the evolution process is analyzed from the two directions of subject strength and content.The construction of semi-automatic domain dictionary can make the topic mining results more accurate.The improved LDA model is helpful to the interpretation of topic content and provides new ideas and methods for topic evolution.
NETL
NSTL
万方数据
