Methods and Systems for Searching, Reviewing and Organizing Data Using Hierarchical Agglomerative Clustering

In a method and system for reviewing, searching and analyzing raw data in a data corpus a corpus optimization module converts the raw data to an optimized corpus. A search composition module operates on the optimized corpus to derive a set of search parameters and a concept extraction module extract...

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Hauptverfasser: Sima, Thomas C, Macartney, John, Matheson, Brian, Grossman, Matthew, Snyder, Amy, Phillips, Lucy, Snyder, John H
Format: Patent
Sprache:eng
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Zusammenfassung:In a method and system for reviewing, searching and analyzing raw data in a data corpus a corpus optimization module converts the raw data to an optimized corpus. A search composition module operates on the optimized corpus to derive a set of search parameters and a concept extraction module extracts a set of initial concept clusters using the set of search parameters. A hybrid review module receives the set of initial concept clusters from the concept extraction module and allows a user to review the optimized corpus using a user interface until the user declares the review complete. A visualization module visualizes the results of the review, search and analysis of the raw data in the data corpus after the user declares the review complete.