The VortexT Analyzer gives users a comprehensive, interactive diagnostic toolset to discover the hidden relevance and relationships in the details of unstructured data. The power of multidimensional word, cluster, and category analysis capabilities expose the unknown connections hidden in large data sets and provides analysts the flexibility to visualize data from any perspective.
The VortexT Analyzer’s full word analysis goes beyond traditional faceted and keyword capabilities, automatically identifying significant words. Review the frequency of all words, phrases, and entities in every file to rapidly determine documents of the most interest.
The VortexT Analyzer’s visualization tools exposes hidden connections in the data. Connections are hard to find because they begin as details hidden in massive amounts of data that high-level analytical tools miss. Our patented dynamic agglomerative hierarchical clustering algorithm compares every word in every document to provide the basis for visualization. Similar to a genomic tree that shows groupings down to an individual species level, the interrelationships within the data are comprehensively mapped down to each individual file. Follow the top significant terms throughout the data cluster tree or use the word analysis tool to highlight a file of interest and see where it falls within the tree to identify its relationships with other documents.
Add another layer to your analysis with user-defined categories based on file properties, keywords, or a profile document(s) to visualize their distribution in the dataset.
The VortexT Analyzer’s flexibility adapts to the user, allowing analysts real-time visualization of the interrelationships within the data resulting from multifaceted analysis.