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| Patent Keyword Extraction Driven by Claim Features |
| Yu Yan1,2, Shang Mingjie1, Zhao Naixuan1 |
1.Institute of the Information Management and Technology, Nanjing Tech University, Nanjing 210009
2.School of Electronics and Computer, Chengxian College, Southeast University, Nanjing 211816 |
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Abstract The current patent keyword extraction is primarily based on general text keyword extraction methods without considering patent features. Thus, this paper proposes a patent keyword extraction method driven by patent claim features. This method includes selecting candidate keywords based on the longest common substring, removing redundant candidate keywords based on the information gain ratio, and integrating a specific degree to weigh candidate keywords. The results of real patent data demonstrate the effectiveness and feasibility of the proposed method.
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Received: 20 April 2020
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