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Visual Analysis of Sentiment and Stance in Social Media Texts
(The Eurographics Association, 2018)
Despite the growing interest for visualization of sentiments and emotions in textual data, the task of detecting and visualizing various stances is not addressed well by the existing approaches. The challenges associated ...
Visually Exploring Data Provenance and Quality of Open Data
(The Eurographics Association, 2018)
While open data platforms are increasingly popular among end-users as well as data providers, there is a growing problem with inconsistent update frequencies and lack of quality in datasets. Efforts to monitor data quality ...
Guidance or No Guidance? A Decision Tree Can Help
(The Eurographics Association, 2018)
Guidance methods have the potential of bringing considerable benefits to Visual Analytics (VA), alleviating the burden on the user and allowing a positive analysis outcome. However, the boundary between conventional VA ...
Holo Worlds Infinite: Procedural Spatial Aware AR Content
(The Eurographics Association, 2017)
We developed an Augmented Reality (AR) application that procedurally generates content which is programmatically placed on the floor. It uses its awareness of its spatial surroundings to generate and place virtual content. ...
Visual Analysis of Parallel Interval Events
(The Eurographics Association, 2018)
System logs typically contain lines with time stamps that each describes an event. Where these events semantically form start and end events, they can be combined into interval events. For visual event analytics, the ...
A Set-based Visual Analytics Approach to Analyze Retail Data
(The Eurographics Association, 2018)
This paper explores how a set-based visual analytics approach could be useful for analyzing customers' shopping behavior, and makes three main contributions. First, it describes the scale and characteristics of a real-world ...
Combining Cluster and Outlier Analysis with Visual Analytics
(The Eurographics Association, 2017)
Cluster and outlier analysis are two important tasks. Due to their nature these tasks seem to be opposed to each other, i.e., data objects either belong to a cluster structure or a sparsely populated outlier region. In ...