Fisheye word cloud for temporal sentiment exploration | Zendy

Ji Wang | Zendy; Kyle Dent | Zendy; Chris North | Zendy

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Fisheye word cloud for temporal sentiment exploration

Author(s) -

Ji Wang,

Kyle Dent,

Chris North

Publication year - 2013

Publication title -

citeseer x (the pennsylvania state university)

Language(s) - English

Resource type - Conference proceedings

DOI - 10.1145/2468356.2468673

Subject(s) - computer science , tag cloud , cloud computing , word (group theory) , task (project management) , context (archaeology) , natural language processing , artificial intelligence , visualization , biology , operating system , paleontology , linguistics , philosophy , management , economics

This poster abstract presents a new word cloud technique, the Fisheye Word Cloud, for exploring time-series data in a focused+context approach to analyzing word data. Our design has two features: cursor-centric layout and word cloud generation on demand. We conducted a validation study to evaluate how our Fisheye Word Cloud influences user performance in comparison tasks of time-series data. Based on task completion time and a TLX-based Likert-style questionnaire, we found the Fisheye Word Cloud has faster task completion time and a better user satisfaction level than the alternative we reviewed.

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