Generating suggestions through document structure mapping
Decision Support Systems
Semantic clustering: Identifying topics in source code
Information and Software Technology
Topic discovery based on text mining techniques
Information Processing and Management: an International Journal
Dependency structure language model for topic detection and tracking
Information Processing and Management: an International Journal
Music Visualization in Style and Structure
Journal of Visualization
Images of Fluid Flow: Art and Physics by Students
Journal of Visualization
Recent Progress in Flow Visualization Techniques toward the Generation of Fluid Art
Journal of Visualization
Hidden Patterns: Creating Radial Spreads of Ink in Water
Journal of Visualization
A new customized document categorization scheme using rough membership
Applied Soft Computing
Story visualization of novels with multi-theme keyword density analysis
Journal of Visualization
Stereoscopic story visualization in literary works demonstrated by Shakespeare's plays
Journal of Visualization
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With the rapid advance in information technology, the applicability of computers has moved from the scientific field towards simulating human intelligence. We are already familiar with using computers to produce music and art and for language translation. A further use is in understanding traditional man-made products; best exemplified by literary works. In this study, we focus on enabling a computer to visualize the meaning of stories. Four world-famous plays by William Shakespeare have been chosen to demonstrate how the visualization scheme works in grasping the meaning of the stories. The scheme employs primitive keyword detection and ellipsoidal differential equations to create a visual imagery of the story. This methodology ensures uniqueness in the visualization of an individual work. In addition, color palettes obtained from pictures relevant to each story are used to enrich the consistency between the visual sense and the meaning of the story.