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产业链视角下结合K-means和LDA的专利技术主题挖掘与趋势分析——以虚拟现实技术为例
Technology Topic Mining and Trend Analysis from the Perspective of Industrial Chain Combined with K-Means and LDA——Taking Virtual Reality Technology as an Example
【摘要】 [目的/意义]在产业链视角下,以虚拟现实技术为例,构建VR专利产业链语料库,挖掘中国VR专利的技术主题、研发热点和未来发展趋势。[方法/过程]首先,利用Python爬取VR领域的专利文本,通过数据清洗得到有效语料库;然后,结合IPC分类号和K-means聚类算法,构建并验证VR专利产业链;最后,基于TF-IDF算法和LDA主题模型,识别出产业链视角下中国VR专利的核心技术主题及其综合强度、技术研发热点和未来趋势。[结果/结论]当前中国VR产业链各环节的专利比例不均衡,上游研发最热门,其次是下游应用,最薄弱的是中游制作。主题挖掘方面,上游热点为软件研发,中游热点为影视制作,下游热点为医疗、教育、娱乐应用。未来趋势方面,产业链上游将以电数字数据处理、光学元件、图像通信等技术为主流,中游将以车辆部件、动力装置、减振装置等技术为主流,下游将以室内游戏、医学诊断、鉴定等技术为主流。
【Abstract】 [Purpose/significance] From the perspective of industry chain,this paper takes virtual reality technology as an example,constructs VR patent industry chain corpus,and explores the technical theme,research and development hotspot and future development trend of China VR patent.[Method/process] First of all,this paper used Python to crawl the patent text in VR field and got effective corpus through data cleaning.Secondly,combining IPC classification number and K-means clustering algorithm,this paper constructed and validates VR patent industry chain.In addition,based on TF-IDF algorithm and LDA theme model,we identified the core technology themes and their comprehensive strength,technology research and development hotspots and future trends of China VR patents from the perspective of production chain.[Result/conclusion] At present,the proportion of patents in each link of China VR industry chain is unbalanced.The upstream link is the most popular,followed by the downstream link,and the weakest link is the midstream link.In terms of theme mining,the upstream hot spot is software development,the midstream hot spot is film and television production,and the downstream hot spot is medical,educational and entertainment applications.In terms of future trends,the upstream of the industrial chain will be dominated by technologies such as electronic digital data processing,optical components,image communication,etc.,the midstream will be dominated by technologies such as vehicle components,power devices,damping devices,etc.,and the downstream will be dominated by technologies such as indoor games,medical diagnosis,identification,etc..
【Key words】 K-means clustering algorithm; LDA theme model; technology theme evolution; text mining; VR;
- 【文献出处】 知识管理论坛 ,Knowledge Management Forum , 编辑部邮箱 ,2020年03期
- 【分类号】TP391.9;G306
- 【被引频次】4
- 【下载频次】537