Twitter is one of the most popular social networks where people use to tweet about their opinions, feelings, desires, ...etc. One of the most important and consistent behaviors of Twitter users is posting a plethora of tweets about events of different types, e.g., Oscars celebration, soccer games, and natural disasters. For such kind of event-specific tweets, geotagged tweets grab the biggest attention because all events by nature have a spatial extent. For example, while Boston Marathon explosions were going on, in April 2013, users rush to Twitter seeking tweets from the marathon location. Thus, within a large project called Taghreed for comprehensive real-time and offline analysis and visualization for Twitter data (see www.gistic.org/taghreed), we are working on a module that aims to semi-automate the task of visually analyzing event-specific tweets, for arbitrary events, over the spatial and temporal dimensions. In this poster, we present our on-going work on this module and discuss three of its use cases. We also discuss our future plans to extend the module for larger data sizes and make it interactive while the events are going-on.