现代情报2024，Vol.44Issue(7)：47-59,13.DOI:10.3969/j.issn.1008-0821.2024.07.005
多平台视角下用户知识交流主题挖掘与画像分析
User Knowledge Exchange Topic Mining and Portrait Analysis from Multiple Platforms
摘要
Abstract
[Purpose/Significance]The study aims to understand users'preferences of knowledge exchange on differ-ent platforms can be achieved by analyzing the topics discussed across multiple platforms,and construct a user portrait labe-ling system,which can help platforms provide more personalized optimization strategies and improve interplatform ecological construction.[Method/Process]The study collected original blog posts and user data related to ChatGPT topics from three typical platforms:mass social platform,interest exchange platform,and vertical knowledge community.Next the BERTop-ic model was adopted to condense knowledge exchange topics.Then,the study extracted portrait labels from four dimen-sions:natural attributes,social attributes,knowledge exchange behavioral attributes,and knowledge exchange thematic attributes.To realize user profiles,present group characteristics,and compare platform differences,the study used K-means clustering to implement a user portrait labeling system.[Result/Conclusion]The study has identified 46 different topics and directions for knowledge exchange on 8 major cutting-edge science and technology subjects.These subjects in-clude application scenarios,industry progress,future exploration,related industries,consultation and help,hot topics,experience of use,and risk supervision.Furthermore,the study has classified the users into 4 categories based on their at-tribute characteristics.These categories are professional contribution,comprehensive sharing,social knowledge-seeking,and topic potential.The study also finds significant differences between platforms in terms of knowledge exchange topics and user profiles.Therefore,platforms should adopt differentiated incentives to enhance platform user stickiness.关键词
知识交流/多元平台/主题模型/BERTopic/用户画像Key words
knowledge exchange/multiple platforms/topic model/BERTopic/user portrait分类
社会科学引用本文复制引用
严炜炜,曹灿瑜..多平台视角下用户知识交流主题挖掘与画像分析[J].现代情报,2024,44(7):47-59,13.基金项目
国家自然科学基金面上项目"情境意识驱动的跨平台知识交流行为及其价值共创研究"(项目编号:72374159) （项目编号:72374159）
中央高校基本科研业务费专项基金资助项目"多元社区情境下用户知识交流价值识别与共创研究"(项目编号:2042023kf0173). （项目编号:2042023kf0173）
