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基于微博的学科热点发现、追踪与分析——以数据挖掘领域为例 被引量:22

Subject Hotspots Discovery,Tracking and Analysis Based on Microblog——Take the Field of Data Mining as An Example
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摘要 指出依据传统信息源对学科热点进行分析研究存在时间上严重滞后的缺点,提出基于微博的学科热点发现、跟踪和分析机制,论证其可行性并给出实现方法和步骤。以基于新浪微博的"数据挖掘"领域学科热点的研究作为实例,将微博结果同传统研究结果进行对比,表明该方法同传统热点分析结论有重合部分,但又可以反映出传统方法所无法反映出的最新热点。 There is serious lagging of subject hotspots analysis based on traditional sources of information. This paper proposes a way of subject hotspots discovery, tracking and analysis based on the microbolg which is update faster. Methods and procedures to achieve it is given after making sure it is feasible. The latter part of the paper is a case study which is about the hotspots of the field of data mining based on Sina microbolg. The author compares the results of the microblog with the traditional research results. It indicates that this method has overlapped part of the conclusions of the traditional hotspots analysis, but it still contains the latest hotspots that the tra- ditional methods can not reflect and the effect is significant.
作者 盛宇
出处 《图书情报工作》 CSSCI 北大核心 2012年第8期32-37,共6页 Library and Information Service
关键词 微博 学科热点 热点发现 数据挖掘 microblog subject hotspot hotspot discovery data mining
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