TechWordNet: Development of semantic relation for technology information analysis using F-term and natural language processing

作者：

Highlights：

• This paper proposes TechWordNet, a semantic relation model for technology information.

• The proposed approach uses F-term knowledge and deep learning models.

• We present the meaningful types of semantic relations from technology information.

• The approach constructs a technology-related semantic relation dataset for a learning model.

• We develop a deep learning-based technology semantic relation model.

摘要

•This paper proposes TechWordNet, a semantic relation model for technology information.•The proposed approach uses F-term knowledge and deep learning models.•We present the meaningful types of semantic relations from technology information.•The approach constructs a technology-related semantic relation dataset for a learning model.•We develop a deep learning-based technology semantic relation model.

论文关键词：Technology intelligence,F-term,Patent analysis,Natural language processing,Deep learning

论文评审过程：Received 3 February 2021, Revised 11 August 2021, Accepted 7 September 2021, Available online 15 September 2021, Version of Record 15 September 2021.

论文官网地址：https://doi.org/10.1016/j.ipm.2021.102752