[目的/意义] 提出一种融合评论主题识别与技术属性多维度分析的技术机会发现方法，从技术需求驱动视角识别技术机会，为企业前瞻布局研发方向与进行科研管理规划提供决策建议支持。[方法/过程] 以产品在线评论为研究数据源，首先，利用LDA主题模型识别出评论技术主题，提出技术评论主题强度和主题新颖度两个指标，筛选出新兴重点技术评论主题。然后，从学术论文、技术专利中人工选取技术属性词，通过TF-IDF值计算得到评论高频词，结合专家知识进一步筛选出技术特征词，构建产品技术属性词-技术特征词表。通过相关性计算分别得到与评论相关和与新兴重点技术评论主题相关的技术属性。最后，提出一种产品重要技术属性识别指标模型并设计一种多维度分析方法，分析产品重要技术属性的特征情况，最终识别出蕴含在评论文本中的新兴技术机会。[结果/结论] 实验结果表明该方法能够有效地识别技术机会，为企业产品技术研发管理提供参考。
[Purpose/significance] This paper proposed a technology opportunity discovery method which integrated comment topic identification and multi-dimensional analysis of technology attributes, identified technology opportunities from the perspective of technology demand driven, and provided decision-making support for enterprises' forward-looking layout of R & D direction and scientific research management planning. [Method/process] Product online comments were used as the research data source. Firstly, LDA topic model was used to identify the technical topics of comments, and two indicators of technical comment topic strength and topic novelty were proposed to screen out the emerging key technical comment topics. Then, technical attribute words were manually selected from academic papers and technical patents, and high-frequency comment words were obtained through TF-IDF value calculation. Combined with expert knowledge, technical feature words were further selected, and product technical attribute words technical feature words list was constructed. Through the correlation calculation, the technical attributes related to the comments and the topics of the emerging key technology comments were obtained respectively. Finally, this paper proposed an index model to identify important technical attributes of products, and designed a multi-dimensional analysis method to analyze the characteristics of important technical attributes of products, and finally identified the emerging technology opportunities contained in the comment text. [Result/conclusion] The experimental results show that this method can effectively identify technology opportunities prospectively, and provide reference for enterprise product technology R & D management.
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