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《Journal of Intelligence》 2015-02
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Research of Corporate IWOM Crisis Early Warning Based on Online Reviews Mining in the Era of Big Data

Li Jinhai;He Youshi;Ma Yunlei;Li Shuopeng;Li Zhiwen;School of Management,Jiangsu University;Faculty of Science,Jiangsu University;Shanghai Marin Equipment Research Institution;  
Internet Word of Mouth(IWOM)crisis under big data environment was different from other corporate crises.The signal of crisis originated from the external information of vast online reviews.In view of the uncontrollability of the present corporate IWOM crisis,based on the analysis of the characteristics of IWOM and the dangers of negative IWOM,this paper proposed a reputation crisis early warning model based on online reviews mining.And the paper researched into the early warning model from the model framework,function,and module design etc.,constructed online reviews mining module based on the big data processing engine MapReduce.The fuzzy membership function was then used to calculate the emotional tendencies of online reviews on the basis of this module to identify the present situation and the trend of IWOM.Using intelligent information processing method to evaluate and diagnose IWOM crisis,the model realized the function of enterprise IWOM crisis intelligent early warning.
【Fund】: 国家自然科学基金项目“多维组间网络外部性下B2B平台交易机制与竞争策略研究”(编号:71302087);; 江苏省普通高校研究生科研创新计划项目“大数据环境下融合情感分析的目标在线评论挖掘研究”(编号:KYZZ_0287)
【CateGory Index】: TP391.1;F272.3
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