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VisForum: A Visual Analysis System for Exploring User Groups in Online Forums

机译:Visorum:用于在线论坛中探索用户组的视觉分析系统

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摘要

User grouping in asynchronous online forums is a common phenomenon nowadays . People with similarbackgrounds or shared interests like to get together in group discussions . As tens of thousands of archivedconversational posts accumulate , challenges emerge for forum administrators and analysts to effectively explore user groups in large-volume threads and gain meaningful insights into the hierarchical discussionsIdentifying and comparing groups in discussion threads are nontrivial , since the number of users and peincreases with time and noises may hamper the detection of user groups. Researchers in data mining fields have proposed a large body of algorithms to explore user grouping.
机译:异步在线论坛中的用户分组是如今的常见现象。有类似的地图或共享利益的人喜欢在团体讨论中聚集在一起。由于成千上万的存档员工累积,挑战出现了论坛管理员和分析师,以有效地探索大量线程中的用户组,并在讨论线程中获得有意义的探讨,并且比较讨论线程中的群体是非虚拟性的,自用户和peincrease是非讨论。随着时间的推移和噪音可能会妨碍检测用户组。数据挖掘领域的研究人员提出了大量的算法来探索用户分组。

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