前缀标签云

Michael Burch, S. Lohmann, Daniel Pompe, D. Weiskopf
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引用次数: 45

摘要

标签云是直观地表示单词频率的一种流行方式。然而,一个主要的限制是它们不关联不同的单词形式,而是将每个形式视为一个单独的标签。这不仅会导致对屏幕空间的低效利用,而且尤其会让观看者不知道是否存在其他形式的单词。为了克服这一限制,我们引入了前缀标记云:一种可视化技术,它使用前缀树对不同的词形式进行分组,并将子树可视化为标记云。分组用颜色来强调,而单词形式的相对频率用字体大小来表示。圆形标记云布局支持快速识别最常见的单词和单词形式。我们展示了该方法对来自计算机科学书目DBLP的大型论文标题数据集的有用性。
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Prefix Tag Clouds
Tag clouds are a popular way to visually represent word frequencies. However, one major limitation is that they do not relate different word forms but treat every form as an individual tag. This results not only in a non-efficient use of screen space but, in particular, leaves the viewer with no indication whether there are other forms of a word or not. To overcome this limitation, we introduce prefix tag clouds: a visualization technique that uses a prefix tree to group different word forms and visualizes the sub trees as tag cloud. The grouping is emphasized by color, while the relative frequencies of the word forms are indicated by font size. A circular tag cloud layout supports the quick identification of the most frequent words and word forms. We show the usefulness of the approach for a large dataset of paper titles from the computer science bibliography DBLP.
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