Predictive unactioned mobile notification processing

1. A method for processing a notification on a mobile device, comprising:

assigning, using a cognitive computer system, a set of classifications to a notification received by a user on a mobile device;

obtaining, by the cognitive computer system, for each prior notification of a plurality of prior notifications received by a user, a set of assigned classifications;

grouping, by the cognitive computer system, the plurality of prior notifications corresponding to an assigned classification;

creating, by the cognitive computer system, a prior response profile for the assigned classification based on the grouping;

deriving, using the cognitive computer system, a user-specific expected response action and an expected response time for the notification based on a comparison of the set of classifications assigned to the notification with a set of prior response profiles in a notification tracking repository by generating the expected response action and the expected response time for the prior response profile based on a prior response action and a prior response time corresponding to each prior notification in the assigned classification;

determining whether the response action has occurred during the expected response time; and

reissuing the notification in response to a determination that the expected response action has not occurred during the expected response time.

2. The method of claim 1 , further comprising computing a confidence level associated with the expected response action and the expected response time in the prior response profile.

3. The method of claim 1 , further comprising:

recording a user response action in response to the reissuing; and

updating the prior response profile based on the user response action.

4. The method of claim 1 , the assigning of the set of classifications further comprising:

performing natural language processing to determine a meaning of language included in the notification;

determining a type of communication included in the notification;

analyzing a tone of the communication; and

determining a subject matter of any image data in the notification.

5. The method of claim 4 , wherein the set of classifications is further assigned based on an application on which the notification was received and a person from which the notification was received.

6. The method of claim 1 , the reissuing further comprising providing the expected action with the notification.

7. A system for processing a notification on a mobile device, comprising:

a memory medium comprising instructions;

a bus coupled to the memory medium; and

a processor coupled to the bus that when executing the instructions causes the system to perform a method, comprising:

assigning, using a cognitive computer system, a set of classifications to a notification received by a user on a mobile device;

obtaining, by the cognitive computer system, for each prior notification of a plurality of prior notifications received by a user, a set of assigned classifications;

grouping, by the cognitive computer system, the plurality of prior notifications corresponding to an assigned classification;

creating, by the cognitive computer system, a prior response profile for the assigned classification based on the grouping;

deriving, using the cognitive computer system, a user-specific expected response action and an expected response time for the notification based on a comparison of the set of classifications assigned to the notification with a set of prior response profiles in a notification tracking repository by generating the expected response action and the expected response time for the prior response profile based on a prior response action and a prior response time corresponding to each prior notification in the assigned classification;

determining whether the response action has occurred during the expected response time; and

reissuing the notification in response to a determination that the expected response action has not occurred during the expected response time.

8. The system of claim 7 , the method further comprising computing a confidence level associated with the expected response action and the expected response time in the prior response profile.

9. The system of claim 7 , the method further comprising:

recording a user response action in response to the reissuing; and

updating the prior response profile based on the user response action.

10. The system of claim 7 , the assigning of the set of classifications further comprising:

performing natural language processing to determine a meaning of language included in the notification;

determining a type of communication included in the notification;

analyzing a tone of the communication; and

determining a subject matter of any image data in the notification.

11. The system of claim 10 , wherein the set of classifications is further assigned based on an application on which the notification was received and a person from which the notification was received.

12. The system of claim 7 , the reissuing further comprising providing the expected action with the notification.

13. A computer program product embodied in a computer readable storage device that, when executed by a computer device, performs a method for processing a notification on a mobile device, the method comprising:

assigning, using a cognitive computer system, a set of classifications to a notification received by a user on a mobile device;

obtaining, by the cognitive computer system, for each prior notification of a plurality of prior notifications received by a user, a set of assigned classifications;

grouping, by the cognitive computer system, the plurality of prior notifications corresponding to an assigned classification;

creating, by the cognitive computer system, a prior response profile for the assigned classification based on the grouping;

deriving, using the cognitive computer system, a user-specific expected response action and an expected response time for the notification based on a comparison of the set of classifications assigned to the notification with a set of prior response profiles in a notification tracking repository by generating the expected response time, and a confidence level for the prior response profile based on a prior response action and a prior response time corresponding to each prior notification in the assigned classification;

determining whether the response action has occurred during the expected response time; and

reissuing the notification in response to a determination that the expected response action has not occurred during the expected response time.

14. The program computer product of claim 13 , the method further comprising:

recording a user response action in response to the reissuing; and

updating the prior response profile based on the user response action.

15. The computer program product of claim 13 , the assigning of the set of classifications further comprising:

performing natural language processing to determine a meaning of language included in the notification;

determining a type of communication included in the notification;

analyzing a tone of the communication; and

determining a subject matter of any image data in the notification.

16. The computer program product of claim 15 , wherein the set of classifications is further assigned based on an application on which the notification was received and a person from which the notification was received.

17. The computer program product of claim 13 , the reissuing further comprising providing the expected action with the notification.