DocumentCode :
650457
Title :
Prefix Tag Clouds
Author :
Burch, Michel ; Lohmann, Steffen ; Pompe, Daniel ; Weiskopf, Daniel
Author_Institution :
VIS/VISUS, Univ. of Stuttgart, Stuttgart, Germany
fYear :
2013
fDate :
16-18 July 2013
Firstpage :
45
Lastpage :
50
Abstract :
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.
Keywords :
data visualisation; tree data structures; trees (mathematics); DBLP; circular tag cloud layout; computer science bibliography; nonefficient screen space usage; prefix tag clouds; prefix tree; sub tree visualization; word forms; word frequency representation visualization; circular layout; prefix tree; tag cloud; word cloud; word forms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Visualisation (IV), 2013 17th International Conference
Conference_Location :
London
ISSN :
1550-6037
Type :
conf
DOI :
10.1109/IV.2013.5
Filename :
6676541
Link To Document :
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