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Journal of Visualization

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22-07-2020 | Regular Paper

The influence of font scale on semantic expression of word cloud

Authors: Lu Yang, Jie Li, Wenhuan Lu, Yi Chen, Kang Zhang, Yan Li

Published in: Journal of Visualization | Issue 6/2020

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Abstract

Word cloud is a common text visualization technique. With the ability of presenting the keywords of a document in a direct way, it has been widely applied in many real-world situations. However, to better represent the main idea of a document, a critical aspect for word cloud design is to set an appropriate font size to facilitate semantic expression. In this paper, we explore the influence of font scale on semantic expression and evaluate font size of word cloud in a more systematic approach. To quantify semantic information of a document, we utilize an LDA ensemble-based method to support interactive selection of topics and obtain the semantics of documents in a scientific way. We conducted two pilot studies to decide important attributes of word clouds for the formal study. Through formal study 1, we find that the scale affects the semantic expression of word cloud, including accuracy, time and confidence in making judgments. In study 2, we explored different semantic expression patterns of word clouds under different document categories. Our findings aimed at optimizing the scale of word cloud and improving its semantic expressing ability.

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Alexander E, Chang CC, Shimabukuro M, Franconeri S, Collins C, Gleicher M (2018) Perceptual biases in font size as a data encoding. IEEE Trans Visualization Comp Gr 24(8):2397–2410CrossRef

Barth L, Fabrikant SI, Kobourov SG, Lubiw A, Nöllenburg M, Okamoto Y, Pupyrev S, Squarcella C, Ueckerdt T, Wolff A (2014) Semantic word cloud representations: Hardness and approximation algorithms. In: Latin American Symposium on Theoretical Informatics, pp. 514–525. Springer

Barth L, Kobourov SG, Pupyrev S (2014) Experimental comparison of semantic word clouds. In: International Symposium on Experimental Algorithms, pp. 247–258. Springer

Bateman S, Gutwin C, Nacenta M (2008) Seeing things in the clouds: the effect of visual features on tag cloud selections. In: Proceedings of the nineteenth ACM conference on Hypertext and hypermedia, pp. 193–202. ACM (2008)

Blei DM, Ng AY, Jordan MI (2003) Latent dirichlet allocation. J Mach Learn Res 3(Jan):993–1022MATH

Chen S, Li J, Andrienko G, Andrienko N, Wang Y, Nguyen PH, Turkay C (2019) Supporting story synthesis: bridging the gap between visual analytics and storytelling. IEEE Transactions on Visualization and Computer Graphics, pp. 1–1

Chi MT, Lin SS, Chen SY, Lin CH, Lee TY (2015) Morphable word clouds for time-varying text data visualization. IEEE Trans Vis Comp Gr 21(12):1415–1426CrossRef

Cui W, Wu Y, Liu S, Wei F, Zhou MX, Qu H (2010) Context preserving dynamic word cloud visualization. In: 2010 IEEE Pacific Visualization Symposium (PacificVis), pp. 121–128. IEEE

Danielsson PE (1980) Euclidean distance mapping. Comp Gr Image Process 14(3):227–248CrossRef

Deutsch S, Schrammel J, Tscheligi M (2009) Comparing different layouts of tag clouds: Findings on visual perception. In: Workshop on Human-Computer Interaction and Visualization, pp. 23–37. Springer

Gansner ER, Hu Y, North SC (2013) Interactive visualization of streaming text data with dynamic maps. J Gr Algorithms Appl 17(4):515–540MathSciNetCrossRef

Haans RF, Pieters C, He ZL (2016) Thinking about u: theorizing and testing u-and inverted u-shaped relationships in strategy research. Strat Manag J 37(7):1177–1195CrossRef

Halvey MJ and Keane MT (2007) An assessment of tag presentation techniques. In: Proceedings of the 16th international conference on World Wide Web, pp. 1313–1314. ACM

Heimerl F, Lohmann S, Lange S, Ertl T (2014) Word cloud explorer: Text analytics based on word clouds. In: 2014 47th Hawaii International Conference on System Sciences, pp. 1833–1842. IEEE

King D, Janiszewski C (2011) The sources and consequences of the fluent processing of numbers. J Market Res 48(2):327–341CrossRef

Koh K, Lee B, Kim B, Seo J (2010) Maniwordle: providing flexible control over wordle. IEEE Trans Vis Comp Gr 16(6):1190–1197CrossRef

Krishna A (2012) An integrative review of sensory marketing: engaging the senses to affect perception, judgment and behavior. J Consum Psychol 22(3):332–351CrossRef

Li D, Mei H, Shen Y, Su S, Zhang W, Wang J, Zu M, Chen W (2018) Echarts: a declarative framework for rapid construction of web-based visualization. Vis Inf 2(2):136–146

Li J, Chen S, Chen W, Andrienko G, Andrienko N (2020) Semantics-space-time cube: a conceptual framework for systematic analysis of texts in space and time. IEEE Trans Vis Comp Gr 26(4):1789–1806

Liu X, Shen HW, Hu Y (2015) Supporting multifaceted viewing of word clouds with focus+ context display. Inf Vis 14(2):168–180CrossRef

Lohmann S, Heimerl F, Bopp F, Burch M, Ertl T (2015) Concentri cloud: Word cloud visualization for multiple text documents. In: 2015 19th International Conference on Information Visualisation, pp. 114–120. IEEE

Lohmann S, Ziegler J, Tetzlaff L (2009) Comparison of tag cloud layouts: Task-related performance and visual exploration. In: IFIP Conference on Human-Computer Interaction, pp. 392–404. Springer

Ma Y, Tung AK, Wang W, Gao X, Pan Z, Chen W (2018) Scatternet: a deep subjective similarity model for visual analysis of scatterplots. IEEE transactions on visualization and computer graphics

Mei H, Chen W, Ma Y, Guan H, Hu W (2018) Viscomposer: a visual programmable composition environment for information visualization. Vis Inf 2(1):71–81

Pope D, Simonsohn U (2011) Round numbers as goals: evidence from baseball, sat takers, and the lab. Psychol Sci 22(1):71–79CrossRef

Rivadeneira AW, Gruen DM, Muller MJ, Millen DR (2007) Getting our head in the clouds: toward evaluation studies of tagclouds. In: Proceedings of the SIGCHI conference on Human factors in computing systems, pp. 995–998. ACM

Saravia E, Argueta C, Chen YS (2015) Emoviz: Mining the world’s interest through emotion analysis. In: Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2015, pp. 753–756. ACM

Schrammel J, Leitner M, Tscheligi M (2009) Semantically structured tag clouds: an empirical evaluation of clustered presentation approaches. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 2037–2040. ACM

Wang J (2012) Clustered layout word cloud for user generated online reviews. Ph.D. thesis, Virginia Tech

Wang J, Zhao J, Guo S, North C, Ramakrishnan N (2014) Recloud: semantics-based word cloud visualization of user reviews. In: Proceedings of Graphics Interface 2014, pp. 151–158. Canadian Information Processing Society

Wang X, Cui Z, Jiang L, Lu W, Li J (2020) Wordlenet: a visualization approach for relationship exploration in document collection. Tsinghua Sci Technol 25(3):384–400CrossRef

Wang Y, Chu X, Bao C, Zhu L, Deussen O, Chen B, Sedlmair M (2018) Edwordle: consistency-preserving word cloud editing. IEEE Trans Vis Comp Gr 24(1):647–656CrossRef

Wei Y, Mei H, Zhao Y, Zhou S, Lin B, Jiang H, Chen W (2020) Evaluating perceptual bias during geometric scaling of scatterplots. IEEE Trans Vis Comp Gr 26(1):321–331CrossRef

Wu Y, Provan T, Wei F, Liu S, Ma KL (2011) Semantic-preserving word clouds by seam carving. Computer graphics forum, vol 30. Wiley, New York, pp 741–750

Xu J, Tao Y, Lin H (2016) Semantic word cloud generation based on word embeddings. In: 2016 IEEE Pacific Visualization Symposium (PacificVis), pp. 239–243. IEEE

Zhao Y, Luo F, Chen M, Wang Y, Xia J, Zhou F, Wang Y, Chen Y, Chen W (2018) Evaluating multi-dimensional visualizations for understanding fuzzy clusters. IEEE Trans Vis Comp Gr 25(1):12–21CrossRef

Title: The influence of font scale on semantic expression of word cloud
Authors: Lu Yang
Jie Li
Wenhuan Lu
Yi Chen
Kang Zhang
Yan Li
Publication date: 22-07-2020
Publisher: Springer Berlin Heidelberg
Published in: Journal of Visualization / Issue 6/2020
Print ISSN: 1343-8875
Electronic ISSN: 1875-8975
DOI: https://doi.org/10.1007/s12650-020-00678-3

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