IP Library Granted Patent US 11,741,169
Granted Patent B2
US 11,741,169 · App. 17/351,949 · Granted Aug 29, 2023

Computer-implemented system and method for analyzing clusters of coded documents

Inventors: Joe Milan (Mercer Island, WA); Eric Robinson (Bellevue, WA); David Stromberg (Bellevue, WA); Collin Arnold (Redmond, WA); Shiow Ju Wu (Bellevue, WA)
Assignee: Nuix North America Inc.
G06F16/93G06F16/248G06F16/24578G06F16/35G06F16/9535G06F3/04845
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Quick Facts
Patent No.
US 11,741,169
App. No.
17/351,949
Granted
Aug 29, 2023
Kind
B2
Abstract

A computer-implemented system and method for analyzing clusters of coded documents is provided. Clusters of documents are displayed and at least a portion of the documents are each associated with a classification code. A representation of each document is provided based on the associated classification code or an absence of the associated classification code. A search query with search terms is received. Each search term is associated with one of the classification codes. Those documents that satisfy the search query are identified and the representations of the identified documents are changed based on the classification codes associated with the search terms. The change in representation provides an indication of agreement between the classification code of such document and the classification codes of the search terms, or an indication of disagreement between the classification code of the document and the classification codes of the search terms.

Claims (48)

1. A computer-implemented system for displaying a plurality of clusters of documents on a two-dimensional screen, each document having an associated classification code, the system comprising a computer programmed to:

display the plurality of clusters, wherein

each cluster of the plurality of clusters has an associated cluster concept,

each document has an associated concept score,

each document is assigned to a cluster based on its concept score; and

each cluster is mapped to a corresponding cluster spine from a plurality of spines, such that each spine comprises a group of clusters sharing a cluster concept; and to

provide a user interface configured to receive a search query comprising one or more search terms, wherein the computer is further configured to, upon receiving said search query:

associate each search term of a received search query with one of the classification codes based on the documents;

identify those documents that satisfy the search query by identifying each document having a classification code associated with a search term of a received search query; and

change the representations of the displayed documents based on the classification codes associated with one or more of the search terms, wherein the change in representation provides one of:

(X) an indication of agreement between the classification code associated with one such document and the classification codes of the one or more search terms, and

(Y) an indication of disagreement between the classification code associated with the document and the classification codes of the search terms.

2. The system as described in claim 1 , wherein at least one spine comprises a plurality of clusters arranged linearly.

3. The system as described in claim 1 , wherein the clusters and spines are displayed in three-dimensional space.

4. The system as described in claim 1 , wherein the concept score is generated from one or both of concepts and terms extracted from the documents.

5. The system as described in claim 1 , further comprising a heads up display generator to generate a heads up display that overlays spines in the visualization.

6. The system as described in claim 5 , wherein the heads up display provides controls for one or more of navigating, exploring, and searching the visualization.

7. The system as described in claim 5 , wherein the heads up display includes a compass that provides a focused view of the cluster spines.

8. The system as described in claim 1 , wherein the computer is further programmed to:

prioritize the documents;

order the documents based on the prioritization;

divide the ordered documents into bins; and

to separately display the documents associated with each bin.

9. A computer-implemented method for displaying multi-dimensional clusters of documents, each document having an associated classification code, the method comprising:

displaying the plurality of multi-dimensional clusters of one or more documents,

each cluster of the plurality of clusters having an associated cluster concept;

each document having an associated concept score;

each document assigned to a cluster based on the document's concept score; and

each cluster mapped to a corresponding cluster spine from a plurality of spines, such that each spine comprises a group of clusters sharing a cluster concept;

displaying a visualization showing the clusters and splines; and

providing a user interface configured to receive a search query comprising one or more search terms, the computer receiving a search query and:

associating each search term of a received search query with one of the classification codes based on the documents;

identifying those documents that satisfy the search query by identifying each document having a classification code associated with a search term of a received search query; and

changing the representations of the displayed documents based on the classification codes associated with one or more of the search terms, wherein the changing in representations provides one of:

(X) an indication of agreement between the classification code associated with one such document and the classification codes of the one or more search terms, and

(Y) an indication of disagreement between the classification code associated with the document and the classification codes of the search terms.

10. The method as described in claim 9 , wherein the clusters and spines are displayed in two-dimensional space for projection onto a two-dimensional display.

11. The method as described in claim 9 , wherein the clusters and spines are displayed in three-dimensional space.

12. The method as described in claim 9 , wherein the concept score is generated from one or both of concepts and terms extracted from the documents.

13. The method as described in claim 9 , further comprising generating a heads up display over the visualization showing the clusters and splines.

14. The method as described in claim 13 , wherein the heads up display provides controls for one or more of navigating, exploring, and searching the visualization.

15. The method as described in claim 13 , wherein the heads up display includes a compass that provides a focused view of the cluster spines.

16. The method as described in claim 13 , wherein the heads up display provides controls for one or more of navigating, exploring, and searching the visualization.

17. The method as described in claim 9 , further comprising:

prioritizing the documents;

ordering the documents based on the prioritization;

dividing the ordered documents into bins; and

separately displaying the documents associated with each bin.

Assignments (3)
SECURITY INTEREST Recorded Apr 4, 2024
From: NUIX NORTH AMERICA INC.
To: THE HONGKONG AND SHANGHAI BANKING CORPORATION LIMITED, SYDNEY BRANCH, AS SECURED PARTY
Reel/Frame 067005/0073 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 24, 2021
From: MILAN, JOE; ROBINSON, ERIC; STROMBERG, DAVID; WU, SHIOW JU; ARNOLD, COLLIN
To: FTI CONSULTING, INC.
Reel/Frame 056655/0638 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jun 24, 2021
From: FTI CONSULTING, INC.
To: NUIX NORTH AMERICA INC.
Reel/Frame 056655/0677 →