IP Library Granted Patent US 11,538,067
Granted Patent B2
US 11,538,067 · App. 17/038,378 · Granted Dec 27, 2022

Systems and methods for providing and using an internet sentiment index

Inventors: John Franklin Pavley (Cranberry, NJ); Sang Chul Song (Aldie, VA); Sean Christopher Timm (Herndon, VA); Thu Rein Kyaw (Reston, VA); Saad Mufti (Fairfax, VA)
Assignee: Yahoo Ad Tech LLC
G06Q30/0269G06Q30/0251G06Q30/0254G06Q30/0255G06Q30/0277
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Quick Facts
Patent No.
US 11,538,067
App. No.
17/038,378
Granted
Dec 27, 2022
Kind
B2
Abstract

Systems and methods are disclosed for online distribution of content based on a user sentiment index. The method may include receiving, over a network and from a user device, one or more user generated inputs and calculating the user sentiment index based on the one or more user generated inputs. The method may also include receiving, over the network, from a content or advertising provider, instructions on publishing content or advertising to a webpage based on the calculated user sentiment index, and publishing content for display on user devices over the network based on a comparison of the calculated user sentiment index and the received instructions.

Claims (40)

1. A computer-implemented method for distributing webpage content over an electronic network to one or more webpages, the method including:

receiving, at a server processor, a first user generated input over an electronic network from a first user at a first webpage, the first user generated input received at a first user element of the first webpage, and the first user generated input having at least one characteristic that is assigned a weight or is associated with an event;

receiving, at the server processor, a second user generated input over the electronic network from a second user at a second webpage, the second user generated input received at a second user element of the second webpage, and the second user generated input having at least one characteristic that is assigned a weight or is associated with an event;

calculating, by the server processor in real time, a user sentiment index of a population comprising the first user and the second user, the user sentiment index calculated based on a neural network analysis performed of at least one of the first user generated input and the second user generated input, the user sentiment index excluding a third user generated input associated with an excluded user;

upon calculating the user sentiment index of the population, retroactively comparing, by the server processor, each of the first user generated input, the second user generated input, and the calculated sentiment index of the population to known sentiments of one or more events;

adjusting, by the server processor, the calculated user sentiment index of the population based on the retroactive comparison; and

distributing, by the server processor over the network, webpage content for display on one or more webpages based on the adjusted calculated user sentiment index of the population.

2. The method of claim 1 , wherein at least one of the first user generated input and the second user generated input is a comment posted on a webpage.

3. The method of claim 1 , wherein the user sentiment index of the population evaluates sentiment of users of one or more webpages.

4. The method of claim 1 , wherein the user sentiment index of the population evaluates sentiment of users in relation to one or more subject matter areas.

5. The method of claim 1 , wherein the step of calculating the user sentiment index of the population comprises incorporating the weights of the characteristics of the first user generated input and the second user generated input.

6. The method of claim 5 , wherein the weight is based on one or more characteristics of the first user generated input and the second user generated input.

7. The method of claim 5 , wherein the step of calculating the user sentiment index of the population comprises receiving one or more reference points defined by a real-world event and further determining the weight of the first user generated input and the second user generated input based on the one or more reference points.

8. The method of claim 5 , wherein the step of calculating the user sentiment index of the population comprises filtering the first user generated input and the second user generated input based on at least one characteristic of the first user generated input and the second user generated input.

9. The method of claim 1 , wherein the step of distributing webpage content based on the adjusted calculated sentiment index of the population comprises comparing the adjusted calculated sentiment index of the population with received instructions, to determine if the adjusted calculated user sentiment index of the population exceeds a threshold value contained in the received instructions.

10. The method of claim 9 , wherein the received instructions comprise parameters for distributing the webpage content and payment amounts.

11. A system for distributing webpage content over an electronic network, the system including:

a computer readable data storage device storing instructions for distributing webpage content; and

a processor configured to execute the instructions to perform a method including:

receiving, at a server processor, a first user generated input over an electronic network from a first user at a first webpage, the first user generated input received at a first user element of the first webpage, and the first user generated input having at least one characteristic that is assigned a weight or is associated with an event;

receiving, at the server processor, a second user generated input over the electronic network from a second user at a second webpage, the second user generated input received at a second user element of the second webpage, and the second user generated input having at least one characteristic that is assigned a weight or is associated with an event;

calculating, by the server processor in real time, a user sentiment index of a population comprising the first user and the second user, the user sentiment index calculated based on a neural network analysis performed of at least one of the first user generated input and the second user generated input, the user sentiment index excluding a third user generated input associated with an excluded user;

upon calculating the user sentiment index of the population, retroactively comparing, by the server processor, each of the first user generated input, the second user generated input, and the calculated sentiment index of the population to known sentiments of one or more events;

adjusting, by the server processor, the calculated user sentiment index of the population based on the retroactive comparison; and

distributing, by the server processor over the network, webpage content for display on one or more webpages based on the adjusted calculated user sentiment index of the population.

12. The system of claim 11 , wherein at least one of the first user generated input and the second user generated input is a comment posted on a webpage.

13. The system of claim 11 , wherein the user sentiment index of the population evaluates sentiment of users of one or more webpages.

14. The system of claim 11 , wherein the user sentiment index of the population evaluates sentiment of users in relation to one or more subject matter areas.

15. The system of claim 11 , wherein the step of calculating the user sentiment index of the population comprises incorporating the weights of the characteristics of the first user generated input and the second user generated input.

16. The system of 15 , wherein the weight is based on one or more characteristics of the first user generated input and the second user generated input.

17. A non-transitory computer-readable medium storing instructions that, when executed by a processor, cause the processor to perform a method for distributing webpage content, the method including:

receiving, at a server processor, a first user generated input over an electronic network from a first user at a first webpage, the first user generated input received at a first user element of the first webpage, and the first user generated input having at least one characteristic that is assigned a weight or is associated with an event;

receiving, at the server processor, a second user generated input over the electronic network from a second user at a second webpage, the second user generated input received at a second user element of the second webpage, and the second user generated input having at least one characteristic that is assigned a weight or is associated with an event;

calculating, by the server processor in real time, a user sentiment index of a population comprising the first user and the second user, the user sentiment index calculated based on a neural network analysis performed of at least one of the first user generated input and the second user generated input, the user sentiment index excluding a third user generated input associated with an excluded user;

upon calculating the user sentiment index of the population, retroactively comparing, by the server processor, each of the first user generated input, the second user generated input, and the calculated sentiment index of the population to known sentiments of one or more events;

adjusting, by the server processor, the calculated user sentiment index of the population based on the retroactive comparison; and

distributing, by the server processor over the network, webpage content for display on one or more webpages based on the adjusted calculated user sentiment index of the population.

18. The non-transitory computer-readable medium storing instructions of claim 17 , wherein the step of distributing webpage content based on the adjusted calculated sentiment index of the population comprises comparing the adjusted calculated sentiment index of the population with received instructions, to determine if the adjusted calculated user sentiment index of the population exceeds a threshold value contained in the received instructions.

19. The non-transitory computer-readable medium storing instructions of claim 17 , wherein the user sentiment index of the population evaluates sentiment of users in relation to one or more subject matter areas.

20. The non-transitory computer-readable medium storing instructions of claim 17 , wherein the step of calculating the user sentiment index of the population comprises determining a weight for the first user generated input and the second user generated input.

Assignments (4)
CHANGE OF NAME Recorded Mar 22, 2022
From: VERIZON MEDIA INC.
To: YAHOO AD TECH LLC
Reel/Frame 059472/0163 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 19, 2020
From: OATH INC.
To: VERIZON MEDIA INC.
Reel/Frame 054415/0404 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Sep 30, 2020
From: PAVLEY, JOHN FRANKLIN; SONG, SANG CHUL; TIMM, SEAN CHRISTOPHER; KYAW, THU REIN; MUFTI, SAAD
To: AOL INC.
Reel/Frame 053934/0415 →
CHANGE OF NAME Recorded Sep 30, 2020
From: AOL INC.
To: OATH INC.
Reel/Frame 053945/0098 →