ParallelTopics: A probabilistic approach to exploring document collections.

Dou, Wenwen.

Wang, Xiaoyu.

Chang, Remco.

Ribarsky, William.


  • Scalable and effective analysis of large text corpora remains a challenging problem as our ability to collect textual data continues to increase at an exponential rate. To help users make sense of large text corpora, we present a novel visual analytics system, Parallel-Topics, which integrates a state-of-the-art probabilistic topic model Latent Dirichlet Allocation (LDA) with interactive visualization. ... read more
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  • Dou, Wenwen, Xiaoyu Wang, Remco Chang, and William Ribarsky. "ParallelTopics: A Probabilistic Approach to Exploring Document Collections." 2011 IEEE Conference on Visual Analytics Science and Technology (VAST) (October 2011). doi:10.1109/vast.2011.6102461.
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