标题:EdWordle: Consistency-preserving Word Cloud Editing
作者:Wang, Yunhai; Chu, Xiaowei; Bao, Chen; Zhu, Lifeng; Deussen, Oliver; Chen, Baoquan; Sedlmair, Michael
作者机构:[Wang, Yunhai; Chu, Xiaowei; Bao, Chen; Chen, Baoquan] Shandong Univ, Jinan, Shandong, Peoples R China.; [Zhu, Lifeng] Southeast Univ, Nanjing, Jian 更多
会议名称:IEEE VIS Conference
会议日期:OCT 01-06, 2017
来源:IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS
出版年:2018
卷:24
期:1
页码:647-656
DOI:10.1109/TVCG.2017.2745859
关键词:Wordle; consistency; text visualization
摘要:We present EdWordle, a method for consistently editing word clouds. At its heart, EdWordle allows users to move and edit words while preserving the neighborhoods of other words. To do so, we combine a constrained rigid body simulation with a neighborhood-aware local Wordle algorithm to update the cloud and to create very compact layouts. The consistent and stable behavior of EdWordle enables users to create new forms of word clouds such as storytelling clouds in which the position of words is carefully edited. We compare our approach with state-of-the-art methods and show that we can improve user performance; user satisfaction, as well as the layout itself.
收录类别:CPCI-S;EI;SCOPUS;SCIE
WOS核心被引频次:2
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028723121&doi=10.1109%2fTVCG.2017.2745859&partnerID=40&md5=f12d9474d989b16183f04d55c4eb534f
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