Discover Research Tools for Textual Study
An application for visualizing a specific collection of authors, and the links or associations between them. Links are determined by co-occurrence in the Orlando dataset. The current dataset consists of authors, other people associated with them, and the text entries upon which these associations are based. The application is designed in such a way that it could be extended to use other datasets as well.The display can be customized in the several ways. Node colours, shapes and sizes can be altered. More significantly, the layout of the graph can be chosen from amongst several different algorithms.As the collection is quite large, there are many filtering options available. In terms of author, the following categories can be specified: gender, author/non-author, and author nationality. The user can create complex search queries of the authors and the text, and specify a date restriction for the authors' life span.Each association in the text has been tagged with one or more semantic attributes, i.e. the type or meaning of the relation between the people. These tags have been organized into a tree, moving from general to more specific relations. Each tag in the tree can be checked/unchecked, further filtering the results.Finally, a data set and customizations can be saved as a session which can then be loaded at a later time. In addition, screenshots of the current layout can be saved to an image file.
TAPoR v.2.5 | Copyright © 2014 TAPoR Team, University of Alberta.