Date of Original Version

5-2012

Type

Conference Proceeding

Rights Management

Copyright is held by the author/owner(s)

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.

DOI

10.1145/2212776.2223772

Share

COinS
 

Published In

Proceedings of CHI '12 Extended Abstracts on Human Factors in Computing Systems, 2177-2182.