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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.