Skip to main navigation Skip to search Skip to main content

A dynamic visual interface for news stream analysis

  • Hong Kong University of Science and Technology
  • Stony Brook University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

In this paper, we introduce a new visualization primitive called TextWheel, and present a visual analytics system for news streams which can bring multiple attributes of the news articles and the macro/micro relations between news streams and keywords into one coherent analytical context and meanwhile convey the dynamic natures of news streams. We use our system to analyze several large-scale news corpora related to some major companies and the results demonstrate the high potential of our method.

Original languageEnglish
Title of host publication1st International Workshop on Intelligent Visual Interfaces for Text Analysis, IVITA'10 - Proceedings
Pages5-8
Number of pages4
DOIs
StatePublished - 2010
Event1st International Workshop on Intelligent Visual Interfaces for Text Analysis, IVITA'10 - Hong Kong, China
Duration: Feb 7 2010Feb 7 2010

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI

Conference

Conference1st International Workshop on Intelligent Visual Interfaces for Text Analysis, IVITA'10
Country/TerritoryChina
CityHong Kong
Period02/7/1002/7/10

Keywords

  • dynamic visualization
  • large-scale document visualization
  • time series data

Fingerprint

Dive into the research topics of 'A dynamic visual interface for news stream analysis'. Together they form a unique fingerprint.

Cite this