IP Library › Granted Patent US 10,713,423
Granted Patent B2
US 10,713,423 · App. 15/793,356 · Granted Jul 14, 2020

Content adjustment and display augmentation for communication

Inventors: Pasquale A. Catalano (Wallkill, NY); Andrew G. Crimmins (Montrose, NY); Arkadiy Tsfasman (Wappingers Falls, NY); John Werner (Fishkill, NY)
Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
G06F40/166G06F3/048G06F16/9038G06F40/247G06F40/253G06F40/30H04L51/02H04L51/046H04L51/12H04L51/32H04L51/16
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Quick Facts
Patent No.
US 10,713,423
App. No.
15/793,356
Filed
Oct 25, 2017
Granted
Jul 14, 2020
Kind
B2
Art Unit
2156
USPC
707/751
Abstract

Embodiments of the invention include methods and systems for content adjustment. Aspects of the invention include receiving, by a processor, a message from a user. A desired sentiment level for the message is received and a sentiment of the message is analyzed. The sentiment of the message is comparted to the desired sentiment level for the message to determine one or more suggested edits for the message.

Claims (43)

1. A computer-implemented method for content adjustment, the method comprising:

receiving, by a processor, a message from a user;

receiving a desired sentiment level for the message;

analyzing a sentiment of the message;

comparing the sentiment of the message to the desired sentiment level for the message to determine one or more suggested edits for the message;

providing the one or more suggested edits for the message to the user;

receiving, by the processor, an indicia from the user, wherein the indicia includes an adjustment to the desired sentiment level for the message; and

wherein the adjustment to the desired sentiment level for the message is inputted by the user utilizing a sentiment level sliding scale;

based at least in part on the adjustment to the desired sentiment level for the message, modifying at least one of the one or more suggested edits to the message.

2. The computer-implemented method of claim 1 , wherein the one or more suggested edits for the message are displayed in the message.

3. The computer-implemented method of claim 2 , wherein the one or more suggested edits are augmented in a display.

4. The computer-implemented method of claim 1 , further comprising:

based at least in part on the adjustment to the desired sentiment level for the message, adding a new suggested edit to the message.

5. The computer-implemented method of claim 1 , further comprising:

based at least in part on the adjustment to the desired sentiment level for the message, removing at least one of the one or more suggested edits to the message.

6. The computer-implemented method of claim 1 , wherein the one or more suggested edits are displayed in a display based at least in part on a user input.

7. The computer-implemented method of claim 1 , wherein the desired sentiment level for the message is received from the user.

8. The computer-implemented method of claim 1 , wherein the desired sentiment level for the message is derived from a historic sentiment level for the user.

9. The computer-implemented method of claim 1 , wherein the one or more suggested edits are selected from a historical database comprising historical words and phrases utilized by the user.

10. The computer-implemented method of claim 1 , wherein the one or more suggested edits are based on a mode of communication for the message.

11. The computer-implemented method of claim 1 , wherein the one or more suggested edits are based on historical communication between the user and a recipient of the message.

12. The computer-implemented method of claim 1 , further comprising:

receiving, by the processor, second indicia from the user, wherein the second indicia includes an acceptance of the one or more suggested edits for the message; and

transmitting the message to a recipient.

13. A system for content adjustment, the system comprising:

a processor communicatively coupled to a memory, the processor configured to:

receive a message from a user;

receive a desired sentiment level for the message;

analyze a sentiment of the message;

compare the sentiment of the message to the desired sentiment level for the message to determine one or more suggested edits for the message;

provide the one or more suggested edits for the message to the user;

receive an indicia from the user, wherein the indicia includes an adjustment to the desired sentiment level for the message;

wherein the adjustment to the desired sentiment level for the message is inputted by the user utilizing a sentiment level sliding scale; and

based at least in part on the adjustment to the desired sentiment level for the message, modify at least one of the one or more suggested edits to the message.

14. A computer program product for content adjustment comprising a computer readable storage medium having program instructions embodied therewith, where the program instructions are executable by a processor to cause the processor to perform a method comprising:

receiving a message from a user;

receiving a desired sentiment level for the message;

analyzing a sentiment of the message;

comparing the sentiment of the message to the desired sentiment level for the message to determine one or more suggested edits for the message;

providing the one or more suggested edits for the message to the user;

receiving, by the processor, an indicia from the user, wherein the indicia includes an adjustment to the desired sentiment level for the message;

wherein the adjustment to the desired sentiment level for the message is inputted by the user utilizing a sentiment level sliding scale; and

based at least in part on the adjustment to the desired sentiment level for the message, modifying at least one of the one or more suggested edits to the message.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Oct 25, 2017
From: CATALANO, PASQUALE A.; CRIMMINS, ANDREW G.; TSFASMAN, ARKADIY; WERNER, JOHN
To: INTERNATIONAL BUSINESS MACHINES CORPORATION
Reel/Frame 043947/0857 →
Continuity (1)
Related Publication 20190121842A1 · Apr 25, 2019
Cited By (1)
US 12,333,247