Computer-Implemented System And Method For Providing Visual Classification Suggestions For Inclusion-Based Concept Clusters

Abstract

A computer-implemented system and method for providing visual classification suggestions for inclusion-based concept clusters are provided. Reference concepts each associated with a classification code are designated. One or more of the reference concepts are grouped with a plurality of uncoded concepts into a grouped concept set. Clusters are generated, each including a portion of the uncoded concepts and the reference concepts of the grouped concept set. A visual suggestion for assigning one of the classification codes to one of the clusters including visually representing each of the reference concepts in that cluster is provided.

What is claimed is: 
     
         1 . A computer-implemented system for providing visual classification suggestions for inclusion-based concept clusters, comprising the steps of:
 a computer processor configured to execute modules, comprising:
 a designation module configured to designate reference concepts each associated with a classification code; 
 a grouping module configured to group one or more of the reference concepts with a plurality of uncoded concepts into a grouped concept set; 
 a generation module configured to generate clusters, each comprising a portion of the uncoded concepts and the reference concepts of the grouped concept set; and 
 a suggestion module configured to provide a visual suggestion for assigning one of the classification codes to one of the clusters comprising visually representing each of the reference concepts in that cluster. 
   
     
     
         2 . A system according to  claim 1 , further comprising:
 a presence module configured to provide at least one of a presence and an absence of the concepts with each of the classification codes in that cluster; and   a number module configured to provide a number of the concepts with each of the classification codes in that cluster,   wherein the suggestion includes at least one of the number and the presence and the absence.   
     
     
         3 . A system according to  claim 2 , further comprising:
 a concept module configured to provide a suggestion for classifying one of the uncoded concepts in that cluster comprising at least one of the number and the presence and the absence.   
     
     
         4 . A system according to  claim 1 , further comprising:
 a selection module configured to receive a user selection of one or more sources, custodians, content, and the classification codes of the reference concepts,   wherein the reference concepts are designated in accordance with the selection.   
     
     
         5 . A system according to  claim 1 , further comprising:
 a parameter module configured to receive a user selection of one or more parameters for generating the clusters,   wherein the clustering is performed in accordance with the selection.   
     
     
         6 . A system according to  claim 1 , further comprising:
 a spine module configured to determine a similarity between the clusters and organizing the clusters along one or more spines based on the similarity, each of the spines comprising a vector; and   a spine classification module configured to provide a visual classification suggestion for assigning one of the classification codes to one of the spines comprising visually representing the clusters along that spine and the reference concepts in the clusters along that spine.   
     
     
         7 . A system according to  claim 6 , further comprising:
 a user selection module configured to receive a user selection of one or more of the clusters and spines;   a display module to display one or more of the clusters and spines within a compass;   an emphasis module configured to emphasize those of the clusters and spines displayed within the compass; and   a deemphasizing module configured to deemphasize those of the clusters and spines displayed outside of the compass.   
     
     
         8 . A system according to  claim 6 , further comprising:
 a label module configured to associate a label with each of the spines, each label associated with one or more documents from which one or more of the concepts in the clusters along that spine were extracted; and   a list module configured to display a list of the documents associated with one of the spine labels.   
     
     
         9 . A system according to  claim 1 , wherein the visual representation of the each classification codes comprises at least one of a symbol, shape, and color different from the visual representations of the remaining classification codes. 
     
     
         10 . A system according to  claim 1 , further comprising:
 an identification module configured to identify one of the concepts as a center of the cluster;   a neighborhood module configured to identify a neighborhood of similar reference concepts for the cluster based on the cluster center; and   an assignment module configured to assign one of the classification codes to the cluster based on the neighborhood.   
     
     
         11 . A computer-implemented method for providing visual classification suggestions for inclusion-based concept clusters, comprising the steps of:
 designating reference concepts each associated with a classification code;   grouping one or more of the reference concepts with a plurality of uncoded concepts into a grouped concept set;   generating clusters, each comprising a portion of the uncoded concepts and the reference concepts of the grouped concept set; and   providing a visual suggestion for assigning one of the classification codes to one of the clusters comprising visually representing each of the reference concepts in that cluster,   wherein the steps are performed by a suitably programmed computer.   
     
     
         12 . A method according to  claim 11 , further comprising:
 providing at least one of a presence and an absence of the concepts with each of the classification codes in that cluster; and   providing a number of the concepts with each of the classification codes in that cluster,   wherein the suggestion includes at least one of the number and the presence and the absence.   
     
     
         13 . A method according to  claim 12 , further comprising:
 providing a suggestion for classifying one of the uncoded concepts in that cluster comprising at least one of the number and the presence and the absence.   
     
     
         14 . A method according to  claim 11 , further comprising:
 receiving a user selection of one or more sources, custodians, content, and the classification codes of the reference concepts,   wherein the reference concepts are designated in accordance with the selection.   
     
     
         15 . A method according to  claim 11 , further comprising:
 receiving a user selection of one or more parameters for generating the clusters,   wherein the clustering is performed in accordance with the selection.   
     
     
         16 . A method according to  claim 11 , further comprising:
 determining a similarity between the clusters and organizing the clusters along one or more spines based on the similarity, each of the spines comprising a vector; and   providing a visual classification suggestion for assigning one of the classification codes to one of the spines comprising visually representing the clusters along that spine and the reference concepts in the clusters along that spine.   
     
     
         17 . A method according to  claim 16 , further comprising:
 receiving a user selection of one or more of the clusters and spines;   displaying one or more of the clusters and spines within a compass;   emphasizing those of the clusters and spines displayed within the compass; and   deemphasizing those of the clusters and spines displayed outside of the compass.   
     
     
         18 . A method according to  claim 16 , further comprising:
 associating a label with each of the spines, each label associated with one or more documents from which one or more of the concepts in the clusters along that spine were extracted; and   displaying a list of the documents associated with one of the spine labels.   
     
     
         19 . A method according to  claim 11 , wherein the visual representation of the each classification codes comprises at least one of a symbol, shape, and color different from the visual representations of the remaining classification codes. 
     
     
         20 . A method according to  claim 11 , further comprising:
 identifying one of the concepts as a center of the cluster;   identifying a neighborhood of similar reference concepts for the cluster based on the cluster center; and   assigning one of the classification codes to the cluster based on the neighborhood.