Data Visualization

Text analysis is often mentioned in the same sentence as information (or data) visualization, in large part because visualization is one of the viable technical tools for information analysis after unstructured information has been structured. Data Visualization tools add dimension and context to static information. The following are examples of how ZyLAB software provides a graphical interpretation of data.

Geo-location of evidence

ZyLAB search results are shown plotted on a Google Map to indicate their geographic locations. The image displays the document properties selected by the user and provides a link to open the actual document.

ZyLAB search results viewed as an interactive hyperbolic tree

A search result for the word “ZyLAB” is displayed as an interactive, hyperbolic tree. The user may click and drag the "star" to reveal the different relationships between the search hits, file properties, and data locations.

ZyLAB search results viewed in a TreeMap

A TreeMap presents an archive as a grid. The components of the grid are color-coded and sized based upon their inter-relationships and content volume. This structure allows one to gain a quick visual representation of areas with the most entities. A value can also be allocated to a certain type of entity, such as the size of an e-mail or a file.

These types of visualization techniques are ideal for gaining immediate insight into large e-mail collections. Apart from the structure that text analysis techniques can deliver, one can also leverage the available attributes such as “Sender”, “Recipient”, “Subject”, “Date”, etc.

Standard Text Mining tools are provided by the ZyLAB Analytics Bundle. Advanced Professional Text Mining & Data Visualization is part of the Third Party Bundle that is typically used in connection with the following pre-configured ZyLAB systems: eDiscovery & Production System, Law Enforcement & Investigations System, Enterprise Information Management System, and Communications Intelligence & Security System.