Abstract：For most of the patent technology-effect matrixes are now manually constructed,thus, a method for matrix structure construction based on feature degree and lexical model is presented. The feature degree is used for improving the correlation degree of candidate technical and effect words, and the lexical model for optimizing clustering of technical and effect words, generating matrix structure. This method provides technical support and new idea for automatically generating patent technology-effect matrix.
陈颖, 张晓林. 基于特征度和词汇模型的专利技术功效矩阵结构生成研究[J]. 现代图书情报技术, 2012, 28(2): 53-59.
Chen Ying, Zhang Xiaolin. Research of Patent Technology-effect Matrix Construction Based on Feature Degree and Lexical Model. New Technology of Library and Information Service, DOI：10.11925/infotech.1003-3513.2012.02.09.