作　　者： ;

机构地区： 中山大学

出　　处： 《情报理论与实践》 2015年第7期59-66,共8页

摘　　要： 为了探讨多源社会化媒体信息在网络情报挖掘中的整合利用，在已有研究的基础上，提出了一个基于多源社会化媒体平台的竞争情报挖掘方案，并通过实证研究对其可行性进行验证。以Surface产品为研究对象，选取新浪微博、豆瓣网、京东商城、中关村在线4个社会化媒体平台中相关的产品评论，综合利用内容分析、情感分析和共现分析等方法对竞争情报中用户情报、企业自身产品情报、竞争对手情报等多方面进行分析探讨。研究表明，通过该挖掘方案在用户的关注热点分析、产品的竞争优劣势分析以及发现竞争对手及其竞争领域方面具有可行性。不同信息来源平台在数据数量与质量上具有明显差别，并且在用户关注点和情感表现等上挖掘效率和结果存在差异，但在核心竞争对手挖掘结果上基本一致。 In order to explore the integrative utilization of multi-source information of social media in network intelligence mining,and based on the existing studies,this paper puts forward a method of competitive intelligence mining based on multi-source social media platform and validates through the empirical research.Taking products of Surface as research objects,the paper selects reviews of related products from 4 social media platforms,including Sina microblog,Douban,Jingdong and ZOL,to analyze and discuss the aspects of user intelligence,intelligence of products and intelligence of competitors in competitive intelligence by using the methods of content analysis,sentiment analysis and co-occurrence analysis.The research result shows that the method of competitive intelligence mining is feasible for the analysis of user＇s hotspots,analysis of products competitive advantages and disadvantages,discovery of competitors and discovery of competition fields.Data from different social media platforms are proved to have differences in quantity and quality as well as in the mining efficiency and results of user interests and emotional performance while the result in core competitor mining are basically the same.

关 键 词： 社会化媒体 竞争情报 用户评论 评论挖掘 共现分析 网络计量学

分 类 号： [G222.2]

领　　域： []