Experimental comparison of semantic word clouds

Lukas Barth, Stephen G. Kobourov, Sergey Pupyrev

Research output: Chapter in Book/Report/Conference proceedingConference contribution

41 Scopus citations


We study the problem of computing semantics-preserving word clouds in which semantically related words are close to each other. We implement three earlier algorithms for creating word clouds and three new ones. We define several metrics for quantitative evaluation of the resulting layouts. Then the algorithms are compared according to these metrics, using two data sets of documents from Wikipedia and research papers. We show that two of our new algorithms outperform all the others by placing many more pairs of related words so that their bounding boxes are adjacent. Moreover, this improvement is not achieved at the expense of significantly worsened measurements for the other metrics.

Original languageEnglish (US)
Title of host publicationExperimental Algorithms - 13th International Symposium, SEA 2014, Proceedings
Number of pages12
ISBN (Print)9783319079585
StatePublished - 2014
Event13th International Symposium on Experimental Algorithms, SEA 2014 - Copenhagen, Denmark
Duration: Jun 29 2014Jul 1 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume8504 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Other13th International Symposium on Experimental Algorithms, SEA 2014

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


Dive into the research topics of 'Experimental comparison of semantic word clouds'. Together they form a unique fingerprint.

Cite this