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11th International Conference Information Visualization (IV '07)
Narrative based Topic Visualization for Chronological Data
Zurich, Switzerland
July 04-July 06
ISBN: 0-7695-2900-3
Mina AKAISHI, University of Tokyo, Japan
Yoshikiyo KATO, National Institute of Information and Communications Technology, Japan
Ken SATOH, National Institute of Informatics and Sokendai, Japan
Koichi HORI, University of Tokyo, Japan
This paper proposes several methods visualizing topics in documents. (i) Word Colony represents the dependency relationships among term occurrences in a target document. It helps users get an overview of a document. Using Word Colony with pictures gives users a more intuitive impression. (ii) Topic Sequence is a concatenation of Word Colonies for segmented documents. It shows plots as a story?s topic transitions. (iii) Topic Matrix represents relations among topics based on latent contexts within a collection of documents. Several visualization techniques enable users to visualize topics in a document in different ways. It gives variations of viewpoint and triggers the creative imagination.
Citation:
Mina AKAISHI, Yoshikiyo KATO, Ken SATOH, Koichi HORI, "Narrative based Topic Visualization for Chronological Data," iv, pp.139-144, 11th International Conference Information Visualization (IV '07), 2007
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