  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 tweet data, not present in TExVis, could play a
critical factor in understanding the changes in people's feedback and reaction
over time. Targeting this, we present our visual analytics tool, called TEVisE.
It uses an enhanced adjacency matrix diagram to overcome the cluttering problem
in TExVis and visualizes the evolution of frequent keywords and the relations
between these keywords over time. We conducted two user studies to find answers
of our two formulated research questions. In the first user study, we focused
on evaluating the used visualization layouts in both tools from the
perspectives of common usability metrics and cognitive load theory. We found
better accuracy in our TEVisE tool for tasks related to reading exploring
relations between frequent keywords. In the second study, we collected users'
feedback towards exploring the summary view and the new timeline evolution view
inside TEVisE. In the second study, we collected users' feedback towards
exploring the summary view and the new timeline evolution view inside TEVisE.
We found that participants preferred both view, one to get overall glance while
the other to get the trends changes over time.
