A Review of the Application ofMeta-Heuristic Algorithms to 2D Strip Packing Problems
Artificial Intelligence Review
Tag clouds for summarizing web search results
Proceedings of the 16th international conference on World Wide Web
IEEE Transactions on Visualization and Computer Graphics
On the Beauty and Usability of Tag Clouds
IV '08 Proceedings of the 2008 12th International Conference Information Visualisation
Participatory Visualization with Wordle
IEEE Transactions on Visualization and Computer Graphics
Document Cards: A Top Trumps Visualization for Documents
IEEE Transactions on Visualization and Computer Graphics
SparkClouds: Visualizing Trends in Tag Clouds
IEEE Transactions on Visualization and Computer Graphics
ManiWordle: Providing Flexible Control over Wordle
IEEE Transactions on Visualization and Computer Graphics
Local Affine Multidimensional Projection
IEEE Transactions on Visualization and Computer Graphics
Context-Preserving, Dynamic Word Cloud Visualization
IEEE Computer Graphics and Applications
Measuring and visualizing interest similarity between microblog users
WAIM'13 Proceedings of the 14th international conference on Web-Age Information Management
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
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Word clouds have become one of the most widely accepted visual resources for document analysis and visualization, motivating the development of several methods for building layouts of keywords extracted from textual data. Existing methods are effective to demonstrate content, but are not capable of preserving semantic relationships among keywords while still linking the word cloud to the underlying document groups that generated them. Such representation is highly desirable for exploratory analysis of document collections. In this paper we present a novel approach to build document clouds, named ProjCloud that aim at solving both semantical layouts and linking with document sets. ProjCloud generates a semantically consistent layout from a set of documents. Through a multidimensional projection, it is possible to visualize the neighborhood relationship between highly related documents and their corresponding word clouds simultaneously. Additionally, we propose a new algorithm for building word clouds inside polygons, which employs spectral sorting to maintain the semantic relationship among words. The effectiveness and flexibility of our methodology is confirmed when comparisons are made to existing methods. The technique automatically constructs projection based layouts the user may choose to examine in the form of the point clouds or corresponding word clouds, allowing a high degree of control over the exploratory process. © 2012 Wiley Periodicals, Inc.