Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 338-349 |
| Number of pages | 12 |
| Journal | Computers and Graphics (Pergamon) |
| Volume | 31 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2007 Jun |
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All Science Journal Classification (ASJC) codes
- Engineering(all)
- Human-Computer Interaction
- Computer Graphics and Computer-Aided Design
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Storylines : Visual exploration and analysis in latent semantic spaces. / Zhu, Weizhong; Chen, Chaomei.
In: Computers and Graphics (Pergamon), Vol. 31, No. 3, 06.2007, p. 338-349.Research output: Contribution to journal › Article
TY - JOUR
T1 - Storylines
T2 - Visual exploration and analysis in latent semantic spaces
AU - Zhu, Weizhong
AU - Chen, Chaomei
PY - 2007/6
Y1 - 2007/6
N2 - 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.
AB - 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.
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UR - http://www.scopus.com/inward/citedby.url?scp=34248205038&partnerID=8YFLogxK
U2 - 10.1016/j.cag.2007.01.025
DO - 10.1016/j.cag.2007.01.025
M3 - Article
AN - SCOPUS:34248205038
VL - 31
SP - 338
EP - 349
JO - Computers and Graphics
JF - Computers and Graphics
SN - 0097-8493
IS - 3
ER -