基于LDA模型的专利文本主题分析——以国内元宇宙领域为例
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Technical Topic Analysis in Patents Based on LDA: Taking metaverse in China as an example
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    摘要:

    为了探究元宇宙作为新兴产业的热点,解决国内元宇宙领域研究重点不明确的问题,提出使用LDA主题模型的专利文本分析方法。将LDA主题模型运用到国内元宇宙领域相关专利文本分析中,结合人为判断和主题困惑度的方法,实现了对专利技术主题的识别和划分。通过实验分析得出结论:人工智能、区块链、云计算等是当前中国元宇宙产业应用专利的热点技术;通过LDA主题模型分析国内元宇宙的专利文本,可以实现其技术热点主题的分类和细分判别,可以为未来的行业发展提供建议。

    Abstract:

    In order to explore the metaverse as a hot spot for emerging industries, and to solve the problem of unclear research focus in the field of domestic Metaverse, a patent text analysis method based on LDA topic model is proposed. By applying LDA topic model to do the patent text analysis of domestic Metaverse industry, combined with human judgement and topic perplexity methods, the identification and classification of patent technology topic have been achieved. Through empirical research, some conclusions are as follows. Artificial intelligence, blockchain, cloud computing, etc. are hotspot technologies of practical patent of domestic Metaverse industry. Analyzing the patent text of domestic Metaverse by LDA topic model, which can classify and segment technology hot topics on domestic Metaverse industry. It also can provide suggestions for the future of Metaverse industry development in China.

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陆振昇,马超.基于LDA模型的专利文本主题分析——以国内元宇宙领域为例[J].科技与产业,2023,23(11):85-88

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  • 在线发布日期: 2023-07-11
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