Experimental comparison of semantic word clouds
|Experimental comparison of semantic word clouds|
|Author(s)||Barth L., Kobourov S.G., Pupyrev S.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Unknown (Extra: Data mining, Semantics, Bounding box, Experimental comparison, Quantitative evaluation, Related word, Research papers, Semantically-related words, Wikipedia, Word clouds, Algorithms)|
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Experimental comparison of semantic word clouds is a 2014 conference paper written in English by Barth L., Kobourov S.G., Pupyrev S. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
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.
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