Title :
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
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;
Conference_Titel :
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4244-1379-9
Electronic_ISBN :
1098-7576
DOI :
10.1109/IJCNN.2007.4371112
