趋势分析工具,同时可视化的排名和价值

Saori Okubo, Tomoya Iwakura, Kazuo Misue
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引用次数: 2

摘要

本文提出了一种将事件的等级和价值随时间变化同时可视化的技术,以及一种利用可视化结果的趋势分析工具。这种技术有助于分析人员理解整个数据集和每个事件的趋势。它还使用颜色(根据事件的文本标签自动估计)来表示事件所属的类别。使用该工具,作者分析了从Twitter中提取的主题数据的趋势,并作为用例,可以观察Twitter的趋势和概述。此外,使用该工具可以展示使用不同媒体的人们使用媒体生成的数据进行思考的不同方式。
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Trend Analysis Tool with Simultaneous Visualization of Rank and Value
In this paper, a technique for visualizing the changing rank and value of events simultaneously with time, as well as a trend analysis tool that uses the resulting visualization, are proposed. This technique facilitates analysts' understanding of the trends of both the entire data set and each event. It also uses colors, which are estimated automatically from the events' text labels, to represent the category to which events belong. Using the tool, the authors analyzed trends of topic data extracted from Twitter as use case, and could observe the trends and overview of Twitter. In addition, using the tool it is possible to present the different ways in which people who use different media think, using media-generated data.
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