Digging text viz
Author:
Affiliation:
1. University of Rhode Island
2. Michigan State University
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3121113.3121221
Reference70 articles.
1. Text visualization techniques: Taxonomy, visual survey, and community insights
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3. Nualart-Vilaplana J. Pérez-Montoro M. & Whitelaw M. 2014. How we draw texts: a review of approaches to text visualization and exploration. El profesional de la información (23.3) 221--235. Nualart-Vilaplana J. Pérez-Montoro M. & Whitelaw M. 2014. How we draw texts: a review of approaches to text visualization and exploration. El profesional de la información ( 23 .3) 221--235.
4. Gan Q. Zhu M. Li M. Liang T. Cao Y. & Zhou B. 2014. Document visualization: an overview of current research. Wiley Interdisciplinary Reviews: Computational Statistics (6.1) 19--36. Gan Q. Zhu M. Li M. Liang T. Cao Y. & Zhou B. 2014. Document visualization: an overview of current research. Wiley Interdisciplinary Reviews: Computational Statistics ( 6 .1) 19--36.
5. Alencar A. B. de Oliveira M. C. F. & Paulovich F. V. 2012. Seeing beyond reading: a survey on visual text analytics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2.6) 476--492. Alencar A. B. de Oliveira M. C. F. & Paulovich F. V. 2012. Seeing beyond reading: a survey on visual text analytics. Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery (2.6) 476--492.
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