DL '00 Proceedings of the fifth ACM conference on Digital libraries
The Shape of Shakespeare: Visualizing Text using Implicit Surfaces
INFOVIS '98 Proceedings of the 1998 IEEE Symposium on Information Visualization
Exploring erotics in Emily Dickinson's correspondence with text mining and visual interfaces
Proceedings of the 6th ACM/IEEE-CS joint conference on Digital libraries
Literature Fingerprinting: A New Method for Visual Literary Analysis
VAST '07 Proceedings of the 2007 IEEE Symposium on Visual Analytics Science and Technology
Visual Thinking: for Design
Visual boosting in pixel-based visualizations
EuroVis'11 Proceedings of the 13th Eurographics / IEEE - VGTC conference on Visualization
Fingerprint matrices: uncovering the dynamics of social networks in prose literature
EuroVis '13 Proceedings of the 15th Eurographics Conference on Visualization
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The volumes of digitized literary collections in various languages increase at a rapid pace, which results also in a growing demand for computational support to analyze such linguistic data. This paper combines robust text analysis with advanced visual analytics and brings a new set of tools to literature analysis. Visual analytics techniques can offer new and unexpected insights and knowledge to the literary scholar. We analyzed a small subset of a large literary collection, the Swedish Literature Bank, by focusing on the extraction of persons' names, their gender and their normalized, linked form, including mentions of theistic beings (e.g., Gods' names and mythological figures), and examined their appearance over the course of the novel. A case study based on 13 novels, from the aforementioned collection, shows a number of interesting applications of visual analytics methods to literature problems, where named entities can play a prominent role, demonstrating the advantage of visual literature analysis. Our work is inspired by the notion of distant reading or macroanalysis for the analyses of large literature collections.