SentiCompass: Interactive visualization for exploring and comparing the sentiments of time-varying twitter data
作者： Florence Ying Wang , Arnaud Sallaberry , Karsten Klein , Masahiro Takatsuka , Mathieu Roche
DOI: 10.1109/PACIFICVIS.2015.7156368
关键词:
摘要: In this work, we introduce SentiCompass for exploring and comparing the sentiments of time-varying Twitter data. Our visualization design combines 2D psychology model affect (i.e. emotion) with a time tunnel representation. To illustrate our design, two case studies are conducted. They demonstrate effectiveness in achieving various tasks related to temporal sentiment affective analysis tweets. The interactive demo system is available at: http://youtu.be/ZaMF6VNO7tA
uni-konstanz.de
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