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Comparison of Key Word and Phrase Visualization Technique

Student: Bobrov Roman

Supervisor: Ekaterina Artemova

Faculty: Faculty of Computer Science

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2016

This paper provides insight into the comparative research of key word and phrase visualization technique. A number of studies are devoted to development of particular visualization tools and the use of certain visualization methodology. However, few studies consider the issue of visualization technique comparison. This study focuses on comparing two well-established visualization techniques, tag clouds and graphs. The paper describes the process of data collection, data processing, key word visualization, and the approach to user-driven study for visualization quality evaluation. The conclusion is that large data sets, together with poor visualization quality, cause perceptual difficulties while retrieving information. Employing new visualization technique, as well as conducting additional surveys, are the work to be done.

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