IP Library Granted Patent US 10,452,698
Granted Patent B2
US 10,452,698 · App. 15/151,572 · Granted Oct 22, 2019

Unstructured data analytics systems and methods

Inventor: Xiaoyu Wang (Charlotte, NC)
Assignee: Stratifyd, Inc.
G06F16/34G06F16/367
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Quick Facts
Patent No.
US 10,452,698
App. No.
15/151,572
Granted
Oct 22, 2019
Kind
B2
Abstract

An unstructured data analytics system, including: an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to one or more users; wherein the summary information is displayed to the one or more users in a presentation layer, an exploration layer, and an annotation layer. The unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources. The presentation layer displays one or more of the unstructured data a summary of the unstructured data, and the summary information. The exploration layers allows the one or more users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer. The one or more users can interact with the unstructured data analytics system simultaneously via the annotation layer.

Claims (22)

1. An unstructured data analytics system, comprising:

an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to a plurality of users;

wherein the summary information is displayed to the plurality of users in a presentation layer, an exploration layer, and an annotation layer;

wherein the presentation layer displays one or more of the unstructured data, a summary of the unstructured data, and the summary information;

wherein the exploration layers allows the plurality of users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer; and

wherein the plurality of users can interact with the unstructured data analytics system simultaneously via the annotation layer operable for annotating the one or more of the unstructured data, a summary of the unstructured data, and the summary information, wherein annotations made by one of the plurality of users are accessible to others of the plurality of users via the annotation layer.

2. The system of claim 1 , wherein the unstructured data comprises one or more of customer experience data, telecom data, email data, social media data, and transaction data.

3. The system of claim 1 , wherein the unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources.

4. The system of claim 3 , wherein the outside data comprises one or more of Internet data, government data, and business data.

5. The system of claim 1 , wherein the one or more analytical tools applied to the unstructured data comprise one or more of a statistical algorithm, machine learning, natural language processing, and text mining.

6. The system of claim 1 , wherein the summary information is also displayed to the plurality of users in a combination layer.

7. An unstructured data analytics method, comprising:

providing an unstructured data analytics algorithm resident on a server and accessible via a browser operable for receiving unstructured data from one or more remote sources, applying one or more analytical tools to the unstructured data, and displaying summary information to a plurality of users;

wherein the summary information is displayed to the plurality of users in a presentation layer, an exploration layer, and an annotation layer;

wherein the presentation layer displays one or more of the unstructured data, a summary of the unstructured data, and the summary information;

wherein the exploration layers allows the plurality of users to modify the granularity of the summary information, thereby modifying the granularity of the presentation layer; and

wherein the plurality of users can interact with the unstructured data analytics system simultaneously via the annotation layer operable for annotating one or more of the unstructured data, a summary of the unstructured data, and the summary information, wherein annotations made by one of the plurality of users are accessible to others of the plurality of users via the annotation layer.

8. The method of claim 7 , wherein the unstructured data comprises one or more of customer experience data, telecom data, email data, social media data, and transaction data.

9. The method of claim 7 , wherein the unstructured data analytics algorithm is also operable for receiving outside data from one or more remote sources.

10. The method of claim 9 , wherein the outside data comprises one or more of Internet data, government data, and business data.

11. The method of claim 7 , wherein the one or more analytical tools applied to the unstructured data comprise one or more of a statistical algorithm, machine learning, natural language processing, and text mining.

12. The method of claim 7 , wherein the summary information is also displayed to the plurality of users in a combination layer.

Assignments (5)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 2, 2024
From: STRATIFYD, INC.
To: STRATIFYD SOFTWARE, LLC
Reel/Frame 067900/0572 →
RELEASE OF SECURITY INTEREST Recorded May 15, 2024
From: CANADIAN IMPERIAL BANK OF COMMERCE
To: STRATIFYD, INC.
Reel/Frame 067426/0669 →
SECURITY INTEREST Recorded Sep 7, 2021
From: STRATIFYD, INC.
To: TRINITY CAPITAL INC.
Reel/Frame 057402/0577 →
SECURITY INTEREST Recorded Jul 18, 2019
From: STRATIFYD, INC.
To: CANADIAN IMPERIAL BANK OF COMMERCE
Reel/Frame 049794/0097 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 11, 2016
From: WANG, XIAOYU
To: STRATIFYD, INC.
Reel/Frame 038543/0782 →
Continuity (3)
Provisional Application 62159662 · May 11, 2015
Provisional Application 62159683 · May 11, 2015
Related Publication 20160335345A1 · Nov 17, 2016