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In this paper, we propose a visual analysis system, SocialHelix, to achieve this goal. ... An intuitive visualization that unfolds the process of sentiment divergence from the rich and massive social media data will have far-reaching impact on various domains including social science, politics ... Huamin Qu from Hong Kong University of Science and Technology for his great support to this project. ...doi:10.1007/s12650-014-0246-x fatcat:pyyzltndpjezrayljchii7dezq
However, the exponential growth in the volume, velocity, and variability of social media data prevents people from fully utilizing such data. ... Many visual analytics methods have been proposed across disciplines to understand large-scale structured and unstructured social media data. ... In addition, Cao et.al  introduced SocialHelix, which illustrates another type of competition, i.e, sentiment divergence, on social media. ...doi:10.1109/tmm.2016.2614220 fatcat:o4nc5eutpfhrplo4joa45dxbnq
In this paper, we describe our work on a visual analytics platform, called StanceVis Prime, which has been designed for the analysis of sentiment and stance in temporal text data from various social media ... Visualization of sentiments and emotions detected in textual data has also become an important topic of interest, especially with regard to the data originating from social media. ... To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. ...doi:10.1007/s12650-020-00684-5 fatcat:xgky6te45zee5cqmlgqz3h72hi