COGNITIVE ANALYSIS OF MESSAGE CONTENT SUITABILITY FOR RECIPIENTS

• US 20180063047A1
• Filed: 08/24/2016
• Published: 03/01/2018
• Est. Priority Date: 08/24/2016
• Status: Active Grant

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Akselrod, Ben Z., Di Loreto, Anthony, McDuff, Steve, Robeson, Kyle D.
• Granted Patent: US 10,218,653 B2
• Time in Patent Office: Days
• CPC Class Codes: G06F 40/30 Semantic analysis
• CPC Class Codes: G06N 5/04 Inference or reasoning models
• CPC Class Codes: G06N 5/048 Fuzzy inferencing
• CPC Class Codes: H04L 51/063 Content adaptation, e.g. replacement of unsuitable content

Abstract

A set of characteristics is constructed corresponding to a content of a message. For a characteristic in the set of characteristics, a skill factor is computed that is needed to achieve a degree of comprehension of the content having the characteristic. A gap is computed between the skill factor corresponding to the characteristic and a skill factor associated with a recipient of the message. An annotation is selected in response to evaluating that the gap exceeds a tolerance value. The annotation is applied in the message to an identifier of the recipient.

Claims

1. A method comprising:

constructing a set of characteristics corresponding to a content of a message;

computing, for a characteristic in the set of characteristics, a skill factor that is needed to achieve a degree of comprehension of the content having the characteristic;

computing, using a processor and a memory, a gap between the skill factor corresponding to the characteristic and a skill factor associated with a recipient of the message;

selecting an annotation responsive to evaluating that the gap exceeds a tolerance value; and

applying, in the message, the annotation to an identifier of the recipient.

2. The method of claim 1, further comprising:

selecting, responsive to evaluating that the gap exceeds a tolerance value, a content annotation, the content annotation corresponding to the characteristic; and

applying the content annotation to a portion of the content, the portion corresponding to the characteristic.

3. The method of claim 1, further comprising:

quantifying the gap to a gap value, wherein the annotation corresponds to a position of the gap value relative to two threshold values.

4. The method of claim 1, wherein the skill factor corresponding to the characteristic and the skill factor associated with the recipient are each related to a common skill.

5. The method of claim 1, wherein the skill factor comprises a type of a skill.

6. The method of claim 1, wherein the skill factor comprises a level of expertise in a skill.

7. The method of claim 1, further comprising:

detecting that the content is being edited; and

further detecting that the recipient has been added in the message, wherein the annotating is responsive to the detecting that the recipient has been added.

8. The method of claim 1, further comprising:

detecting an input to send the message to the recipient, wherein the annotating is responsive to the detecting the input.

9. The method of claim 1, further comprising:

analyzing, to perform the constructing, the content using Natural Language Processing (NLP).

10. The method of claim 9, wherein the analyzing identifies a word in the content, the word forming a characteristic in the set of characteristics.

11. The method of claim 9, wherein the analyzing identifies a language of the content, the language forming a characteristic in the set of characteristics.

12. The method of claim 9, wherein the analyzing identifies a style of writing of the content, the style of writing forming a characteristic in the set of characteristics.

13. The method of claim 9, wherein the analyzing identifies a complexity of the content, the complexity forming a characteristic in the set of characteristics.

14. The method of claim 9, wherein the analyzing identifies a subject-matter of the content, the subject-matter forming a characteristic in the set of characteristics.

15. The method of claim 9, wherein the analyzing identifies a complexity of a subject-matter domain of the content, the complexity of the subject-matter domain forming a characteristic in the set of characteristics.

16. A computer usable program product comprising one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices, the stored program instructions comprising:

program instructions to construct a set of characteristics corresponding to a content of a message;

program instructions to compute, for a characteristic in the set of characteristics, a skill factor that is needed to achieve a degree of comprehension of the content having the characteristic;

program instructions to compute, using a processor and a memory, a gap between the skill factor corresponding to the characteristic and a skill factor associated with a recipient of the message;

program instructions to select an annotation responsive to evaluating that the gap exceeds a tolerance value; and

program instructions to apply, in the message, the annotation to an identifier of the recipient.

17. The computer usable program product of claim 16, further comprising:

program instructions to select, responsive to evaluating that the gap exceeds a tolerance value, a content annotation, the content annotation corresponding to the characteristic; and

program instructions to apply the content annotation to a portion of the content, the portion corresponding to the characteristic.

18. The computer usable program product of claim 16, wherein the computer usable code is stored in a computer readable storage device in a data processing system, and wherein the computer usable code is transferred over a network from a remote data processing system.

19. The computer usable program product of claim 16, wherein the computer usable code is stored in a computer readable storage device in a server data processing system, and wherein the computer usable code is downloaded over a network to a remote data processing system for use in a computer readable storage device associated with the remote data processing system.

20. A computer system comprising one or more processors, one or more computer-readable memories, and one or more computer-readable storage devices, and program instructions stored on at least one of the one or more storage devices for execution by at least one of the one or more processors via at least one of the one or more memories, the stored program instructions comprising:

program instructions to construct a set of characteristics corresponding to a content of a message;

program instructions to compute, for a characteristic in the set of characteristics, a skill factor that is needed to achieve a degree of comprehension of the content having the characteristic;

program instructions to compute a gap between the skill factor corresponding to the characteristic and a skill factor associated with a recipient of the message;

program instructions to select an annotation responsive to evaluating that the gap exceeds a tolerance value; and

program instructions to apply, in the message, the annotation to an identifier of the recipient.