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

摘要

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.