| 专利技术主题分析:基于SAO结构的LDA主题模型方法 |
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| 引用本文： | 杨超,朱东华,汪雪锋,朱福进,衡晓帆.专利技术主题分析:基于SAO结构的LDA主题模型方法[J].图书情报工作,2017,61(3):86-96. |
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| 作者姓名： | 杨超 朱东华 汪雪锋 朱福进 衡晓帆 |
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| 作者单位： | 1. 北京理工大学管理与经济学院 北京 100081;
2. 悉尼科技大学量子计算与智能系统研究中心 新南威尔士 2007 |
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| 基金项目： | 本文系国家自然科学基金面上项目"基于语义TRIZ的新兴技术创新路径预测研究"（项目编号：71373019）和国家高技术研究发展计划"面向政府管理的大数据智能服务系统及应用示范"（项目编号：2014AA015105）研究成果之一。 |
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| 摘 要： | 目的/意义]改善现有专利技术主题分析方法主题辨识度低、主题词二义性、无法识别技术信息中的"问题"与相应"解决方案"等问题。方法/过程]本文通过抽取专利文本中的SAO结构,并从SAO结构中识别"问题和解决方案"（P&S）模式,基于"bag of P&S"假设,构建基于"主语-行为-宾语"（subject-action-object,SAO）结构的LDA主题模型,实现对专利文献主题结构的识别和分析。结果/结论]案例研究表明,该方法能够有效识别主题分布,并在主题辨识度和语义消岐方面较传统LDA模型具有较大优势。
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| 关 键 词： | SAO结构 技术主题分析 LDA模型 P&S模式 石墨烯 |
| 收稿时间： | 2016-10-07 |
Technical Topic Analysis in Patents: SAO-based LDA Modeling |
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| Yang Chao,Zhu Donghua,Wang Xuefeng,Zhu Fujin,Heng Xiaofan.Technical Topic Analysis in Patents: SAO-based LDA Modeling[J].Library and Information Service,2017,61(3):86-96. |
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| Authors: | Yang Chao Zhu Donghua Wang Xuefeng Zhu Fujin Heng Xiaofan |
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| Affiliation: | 1. School of Management and Economics, Beijing Institute of Technology, Beijing 100081;
2. Centre for Quantum Computation and Intelligent Systems, University of Technology Sydney, NSW 2007 |
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| Abstract: | Purpose/significance] There are three problems we have to fix in performing technical topic analysis:difficult to classify topic; homonyms of words and terms; difficult to identify technical problem and solution.Method/process] In this paper, we first extract SAO structures from patents, and then we explore and identify the problem & solution patterns embodied in SAO structures. At last, SAO-Based LDA model is built based on the "bag of P&S" assumption and it performs technical topic analysis at concept level.Result/conclusion] The case study shows that the proposed method can effectively identify topics' distribution, and has great advantages in topic identification and word disambiguation compared with traditional LDA model. |
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| Keywords: | SAO structures technical topic analysis LDA model P&S pattern graphene |
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