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Abstract or Description
Existing methods for searching and exploring large document collections focus on surface-level matches to user queries, ignoring higher-level semantic structure. In this paper we show how topic modeling — a technique for identifying latent themes across a large collection of documents — can support semantic exploration. We present TopicViz: an interactive environment which combines traditional search and citation-graph exploration with a force-directed layout that links documents to the latent themes discovered by the topic model. We describe usage scenarios in which TopicViz supports rapid sensemaking on large document collections.
Proceedings of CHI '12 Extended Abstracts on Human Factors in Computing Systems, 2177-2182.