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better understanding. To obtain different clusterings, users can adjust the keyword importance on the fly. Topic modeling represents the documents with higher-level semantic meanings. System performance has been optimized to achieve instantaneous animated visualization even for very large data collections. A powerful user
will be able to identify concepts and relationships from the dataset based on keyword searches in their own workspace and collaborate visually with other analysts using visualization tools such as a concept map view and a timeline view. The system allows analysts to parallelize the work by dividing initial sets of
connections, but also the nature of their relationship using representative keywords for nodes and edges. In this paper, we apply the technique to an interactive web-based visual analytics environment - Apropos - where a user can explore a text corpus using WordBridge. We validate the technique using several case studies based
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.