Research on the Evaluation Method of Patent Keyword Extraction Algorithm Based on Information Gain and Similarity

Subjects: Library Science，Information Science >> Information Science submitted time 2023-04-01 Cooperative journals: 《图书情报工作》

Yu Yan Ju Peng Shang Mingjie

Abstract： [Purpose/significance] Aiming at the problems existing in the evaluation of patent keyword extraction algorithm, which mainly uses the extracted keywords to match the keywords manually labeled by experts, an evaluation model of patent keyword extraction algorithm based on information gain and similarity is proposed.[Method/process] The proposed evaluation model evaluated the accuracy of the patent keyword extraction algorithm from intrinsic and extrinsic levels. The intrinsic evaluation model measured the information gain of each keyword extracted by the evaluation algorithm to evaluate the novelty and creativity of the extracted keywords. The extrinsic evaluation model used the keyword set extracted by the evaluation algorithm to represent the patents, and measured the effectiveness of the keywords extracted by the algorithm to describe the patent topic by calculating the similarity of relevant patents.[Result/conclusion] Through the validation experiment of the evaluation model and the empirical research on the application of the evaluation model, the results show that the evaluation model based on information gain and similarity is feasible and effective.

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