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观点挖掘和情绪分析在颗粒化双边市场中的应用

Opinion mining and sentiment analysis in granular two-sided market
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摘要 颗粒化双边市场是在社交平台中通过共同价值主张自发形成的强用户黏性的双边市场。通过设计实现颗粒化双边市场中的观点挖掘和情绪分析的系统并进行实验,结果证明:社区事件会对市场颗粒中的情绪产生重要影响,而颗粒化双边市场中的情绪变化会对颗粒中传递的观点产生重要影响,甚至会影响颗粒的正常运营。 Granular two-sided market is the two-sided market form which possesses the strong stickiness of the users by the common value proposition forming spontaneously on the social network platform. A sys- tem which aims to digging the opinions and analyzing the emotions in the granular two-sided market is de- signed and the experiment is conducted. The results show: the community events will seriously affect the users' emotions in the market grains, and that the emotions changing in the granular two-sided market will seriously affect the opinions delivering in the market grains, and even will affect the normal operating of grains.
作者 刘钰碧 徐劲松 徐晓峰 LIU Yubi XU Jinsong XU Xiaofeng(School of Economics, Nanjing University of Posts and Telecommunications, Nanjing 210023, China School of Modem Postal Service, Nanjing University of Posts and Telecommunications, Nanjing 210023, China China Mobile Communications Group Jiangsu Co. , Ltd. , Nanjing 210000, China)
出处 《南京邮电大学学报(社会科学版)》 2017年第3期101-109,共9页 Journal of Nanjing University of Posts and Telecommunications(Social Science Edition)
基金 江苏省高校自然科学基金"SLA约束下的云资源调度技术研究"(14KJD520005)
关键词 双边市场 颗粒化 观点挖掘 情绪分析 大数据 two-sided market granulation opinion mining sentiment analysis big data
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