SemVis | Zendy

Tuan M. V. Le | Zendy; Hady W. Lauw | Zendy

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SemVis

Author(s) -

Tuan M. V. Le,

Hady W. Lauw

Publication year - 2017

Publication title -

singapore management university institutional knowledge (ink) (singapore management university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/3132847.3133181

Subject(s) - visualization , computer science , semantics (computer science) , representation (politics) , information retrieval , information visualization , space (punctuation) , data visualization , natural language processing , artificial intelligence , programming language , political science , politics , law , operating system

Exploratory analysis of a text corpus is an important task that can be aided by informative visualization. One spatially-oriented form of document visualization is a scatterplot, whereby every document is associated with a coordinate, and relationships among documents can be perceived through their spatial distances. Semantic visualization further infuses the visualization space with latent semantics, by incorporating a topic model that has a representation in the visualization space, allowing users to also perceive relationships between documents and topics spatially. We illustrate how a semantic visualization system called SemVis could be used to navigate a text corpus interactively and topically via browsing and searching.

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