TagClusters: Semantic Aggregation of Collaborative Tags beyond TagClouds
SG '09 Proceedings of the 10th International Symposium on Smart Graphics
Word clouds for efficient document labeling
DS'11 Proceedings of the 14th international conference on Discovery science
Semantic Wordification of Document Collections
Computer Graphics Forum
Information Retrieval in the Commentsphere
ACM Transactions on Intelligent Systems and Technology (TIST)
Seeing beyond reading: a survey on visual text analytics
Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery
Aesthetic Expectations for Information Visualization
International Journal of Creative Interfaces and Computer Graphics
TagClusters: Enhancing Semantic Understanding of Collaborative Tags
International Journal of Creative Interfaces and Computer Graphics
Geo-clouds: visualizing news over geographical maps
Proceedings of the 4th ACM SIGSPATIAL International Workshop on GeoStreaming
| Hi-index | 0.00 |
Tag clouds are text-based visual representations of a set of tags usually depicting tag importance by font size. Recent trends in social and collaborative software have greatly increased the popularity of this type of visualization. This paper proposes a family of novel algorithms for tag cloud layout and presents evaluation results obtained from an extensive user study and a technical evaluation. The algorithms address issues found in many common approaches, for example large whitespaces, overlapping tags and restriction to specific boundaries. The layouts computed by these algorithms are compact and clear, have small whitespaces and may feature arbitrary convex polygons as boundaries. The results of the user study and the technical evaluation enable designers to devise a combination of algorithm and parameters which produces satisfying tag cloud layouts for many application scenarios.