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KNOWLEDGE DISCOVERY USING COLLECTIONS OF SOCIAL INFORMATION

机译:使用社交信息集进行知识发现

摘要

Architecture that enables access to high quality summaries of trending topics of social media data, and presents to a consumer an aggregated view of the social activity of a unit of information of interest across different networks (and then defined by increments of time, if desired). The social network data is mined to extract associated attributes as well as popular hashtags, links, etc. This provides a consumer with a single interface for all relevant social activity associated with a user query and enable the capability to browse through the unit(s) of information via the interface. The user can also follow (track) the unit(s) of information of interest as well as receive personalized notifications (e.g., emails) thereby keeping the consumer current with trends on a time basis (e.g., daily, weekly, etc.).
机译:能够访问社交媒体数据趋势主题的高质量摘要的体系结构,并向消费者提供跨不同网络的感兴趣的信息单元的社交活动的聚合视图(然后根据需要通过时间增量来定义) 。挖掘社交网络数据以提取关联的属性以及流行的标签,链接等。这为消费者提供了与用户查询关联的所有相关社交活动的单个界面,并能够浏览单位通过界面获取信息。用户还可以跟踪(跟踪)感兴趣的信息单元,以及接收个性化通知(例如,电子邮件),从而使消费者在时间基础上(例如,每天,每周等)保持最新趋势。

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