3D-SE Viewer: A Text Mining Tool based on Bipartite Graph Visualization

Author

Usui, Shiro ; Naud, Antoine ; Ueda, Naonori ; Taniguchi, Tatsuki

Author_Institution

RIKEN Brain Sci. Inst., Saitama

fYear

2007

fDate

12-17 Aug. 2007

Firstpage

1103

Lastpage

1108

Abstract

A new interactive visualization tool is proposed for textual data mining based on bipartite graph visualization. Applications to three text datasets are presented to show the capability of this interactive tool to visualize complex relational information between two sets of items by embedding their graph in a 3-dimensional space. Information extracted from texts, such as keywords, indexing terms or topics are visualized to allow interactive browsing of a field of research featured by keywords, topics or research teams. This 3-D visualization tool conveys more information than planar or linear displays of graphs.

Keywords

data mining; data visualisation; graph theory; interactive systems; text analysis; 3D-SE viewer; bipartite graph visualization; indexing term extraction; information extraction; interactive browsing; interactive visualization tool; keyword extraction; relational information visualization; text mining tool; textual data mining; topic extraction; Bipartite graph; Data mining; Data visualization; Displays; Frequency; Laboratories; Neural networks; Partitioning algorithms; Text mining; Transmission line matrix methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 2007. IJCNN 2007. International Joint Conference on

Conference_Location

Orlando, FL

ISSN

1098-7576

Print_ISBN

978-1-4244-1379-9

Electronic_ISBN

1098-7576

Type

conf

DOI

10.1109/IJCNN.2007.4371112

Filename

4371112