This study delves into the vast landscape of COVID-19 discussions on Twitter, aiming to
unveil pertinent insights and emerging trends within this dynamic social media platform …

The visualization community has developed to date many intuitions and understandings of
how to judge the quality of views in visualizing data. The computation of a visualization's …

A great deal of text and geographical information is provided in the geo-tagged social media
data, which offers unprecedented opportunities to get insights into the social behaviors …

A predominance map expresses the predominant data category for each geographical entity
and colors are used to differentiate a small number of data categories. In tag maps, many …

Recent years have witnessed progress of public institutions in making their datasets
available online, free of charge, for re-use. There have been however limited studies which …

Geo-text data, which combine geographical locations with textual information (eg, geo-
tagged tweets), are typically visualized using tag maps. Since tags are rich in attribute …

TopoText is a context-preserving technique for visualizing text data for multi-scale spatial
aggregates to gain insight into spatial phenomena. Conventional exploration requires users …

With the rapid growth of geo-tagged social media data, it has become feasible to explore
topics across different areas through text mining and geographical visualization. However …

Recently, a new window to explore tweet data has been opened in TExVis tool through
visualizing the relations between the frequent keywords. However, timeline exploration of …

The Twitter has become a powerful medium for people to express their feelings and
reactions towards some recent event or happening event. Analyzing and exploring such …