An algorithm for drawing general undirected graphs
Information Processing Letters
PAT-tree-based keyword extraction for Chinese information retrieval
Proceedings of the 20th annual international ACM SIGIR conference on Research and development in information retrieval
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NPIV '97 Proceedings of the 1997 workshop on New paradigms in information visualization and manipulation
A probabilistic model for Latent Semantic Indexing: Research Articles
Journal of the American Society for Information Science and Technology
IEEE Transactions on Visualization and Computer Graphics
Graph Signatures for Visual Analytics
IEEE Transactions on Visualization and Computer Graphics
Visual Analysis of Large Heterogeneous Social Networks by Semantic and Structural Abstraction
IEEE Transactions on Visualization and Computer Graphics
Research of Spam Filtering System Based on LSA and SHA
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
Exploiting Gene Ontology to Conceptualize Biomedical Document Collections
ASWC '08 Proceedings of the 3rd Asian Semantic Web Conference on The Semantic Web
A Concept-Driven Automatic Ontology Generation Approach for Conceptualization of Document Corpora
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Exploiting corpus-related ontologies for conceptualizing document corpora
Journal of the American Society for Information Science and Technology
Iterative visual clustering for unstructured text mining
ISB '10 Proceedings of the International Symposium on Biocomputing
PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining
IVEA: an information visualization tool for personalized exploratory document collection analysis
ESWC'08 Proceedings of the 5th European semantic web conference on The semantic web: research and applications
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Artificial Intelligence in Medicine
Visualizing polysemy using LSA and the predication algorithm
Journal of the American Society for Information Science and Technology
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Tasks in visual analytics differ from typical information retrieval tasks in fundamental ways. A critical part of a visual analytics is to ask the right questions when dealing with a diverse collection of information. In this article, we introduce the design and application of an integrated exploratory visualization system called Storylines. Storylines provides a framework to enable analysts visually and systematically explore and study a body of unstructured text without prior knowledge of its thematic structure. The system innovatively integrates latent semantic indexing, natural language processing, and social network analysis. The contributions of the work include providing an intuitive and directly accessible representation of a latent semantic space derived from the text corpus, an integrated process for identifying salient lines of stories, and coordinated visualizations across a spectrum of perspectives in terms of people, locations, and events involved in each story line. The system is tested with the 2006 VAST contest data, in particular, the portion of news articles.