Content-Based Clustering for Tag Cloud Visualization
Content-Based Clustering for Tag Cloud Visualization
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DOI：
10.1109/asonam.2009.19
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发表时间：
2009-07
期刊：
影响因子：
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通讯作者：
A. Zubiaga;A. P. García-Plaza;Víctor Fresno-Fernández;Raquel Martínez-Unanue
中科院分区：
文献类型：
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作者：
A. Zubiaga;A. P. García-Plaza;Víctor Fresno-Fernández;Raquel Martínez-Unanue
社会标签系统正在成为一种有趣的方式，从以前的注释数据检索网络信息。这些站点呈现一个由最流行的标签组成的标签云，其中既不考虑标签分组，也不考虑其相应的内容。我们提出了一种基于使用自组织地图来获取和可视化相关标签云的方法，其中标签之间的关系是考虑到标记文档的文本内容而建立的。每个地图单元都可以用它所包含的标签中最相关的术语来表示，这样就可以研究和分析这些组，并在相关的术语和标签中进行可视化和导航。
Social tagging systems are becoming an interesting way to retrieve web information from previously annotated data. These sites present a tag cloud made up by the most popular tags, where neither tag grouping nor their corresponding content is considered. We present a methodology to obtain and visualize a cloud of related tags based on the use of self-organizing maps, and where the relations among tags are established taking into account the textual content of tagged documents. Each map unit can be represented by the most relevant terms of the tags it contains, so that it is possible to study and analyze the groups as well as to visualize and navigate through the relevant terms and tags.