In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for managing captured images and captions using deep machine learning, the method comprising: receiving, by one or more computer processors, one or more captured images of one or more subjects, wherein a first image of the one or more images includes one or more subjects; identifying, by the one or more computer processors, the one or more subjects from the first image; identifying, by the one or more computer processors, the context of the first image of the one or more captured images containing the one or more subjects; analyzing, by the one or more computer processors, one or more social networking histories and relationships associated with the one or more subjects using facial recognition techniques and object recognition techniques; identifying, by one or more computer processors, the relationship between the one or more identified subjects and a tone of the first image; performing, by one or more computer processors, regression analysis on the identified relationship to categorize the relationship between one or more identified subjects and the tone for the image; and creating, by the one or more computer processors, one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects and the performed regression analysis. 2. The method of claim 1, further comprising: determining, by the one or more computer processors, whether permission exists to upload the first image of the one or more captured images of one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images to one or more networks. 3. The method of claim 2, further comprising: responsive to determining that permission to upload the first image of the one or more captured images of the one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images does exist, uploading, by the one or more computer processors, the first image of the one or more captured images of the one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images to relevant social networks. 4. The method of claim 1, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined using a supervised learning classifier. 5. The method of claim 1, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined using a regression analysis. 6. The method of claim 1, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined by analyzing the history of the one or more identified subjects using one or more past social network posts in one or more similar situations. 7. The method of claim 1, wherein the one or more subjects are selected from a group consisting of: one or more users, one or more people, one or more places, one or more objects, and any combination of the one or more people, the one or more places, and the one or more objects. 8. A computer program product for managing captured images and captions using deep machine learning, the computer program product comprising: one or more computer readable storage devices and program instructions stored on the one or more computer readable storage devices, the stored program instructions comprising: program instructions to receive one or more captured images of one or more subjects, wherein a first image of the one or more images includes one or more subjects; program instructions to identify the one or more subjects from the first image; program instructions to identify the context of the first image of the one or more captured images containing the one or more subjects; program instructions to analyze one or more social networking histories and relationships associated with the one or more subjects using facial recognition techniques and object recognition techniques; program instructions to identify the relationship between the one or more identified subjects and a tone of the first image; program instructions to perform regression analysis on the identified relationship to categorize the relationship between one or more identified subjects and the tone for the image; and program instructions to create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects and the performed regression analysis. 9. The computer program product of claim 8, further comprising: program instructions to determine whether permission exists to upload the first image of the one or more captured images of one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images to one or more networks. 10. The computer program product of claim 9, further comprising: responsive to determining that permission to upload the first image of the one or more captured images of the one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images does exist, program instructions to upload the first image of the one or more captured images of the one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images to relevant social networks. 11. The computer program product of claim 8, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined using a supervised learning classifier. 12. The computer program product of claim 8, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined using a regression analysis. 13. The computer program product of claim 8, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined by analyzing the history of the one or more identified subjects using one or more past social network posts in one or more similar situations. 14. The computer program product of claim 8, wherein the one or more subjects are selected from a group consisting of: one or more users, one or more people, one or more places, one or more objects, and any combination of the one or more people, the one or more places, and the one or more objects. 15. A computer system for managing captured images and captions using deep machine learning, the computer system comprising: one or more computer processors; one or more computer readable storage devices; program instructions stored on the one or more computer readable storage devices for execution by at least one of the one or more computer processors, the stored program instructions comprising: program instructions to receive one or more captured images of one or more subjects, wherein a first image of the one or more images includes one or more subjects; program instructions to identify the one or more subjects from the first image; program instructions to identify the context of the first image of the one or more captured images containing the one or more subjects; program instructions to analyze one or more social networking histories and relationships associated with the one or more subjects using facial recognition techniques and object recognition techniques; program instructions to identify the relationship between the one or more identified subjects and a tone of the first image; program instructions to perform regression analysis on the identified relationship to categorize the relationship between one or more identified subjects and the tone for the image; and program instructions to create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects and the performed regression analysis. 16. The computer system of claim 15, further comprising: program instructions to determine whether permission exists to upload the first image of the one or more captured images of one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images to one or more networks. 17. The computer system of claim 16, further comprising: responsive to determining that permission to upload the first image of the one or more captured images of the one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images does exist, program instructions to upload the first image of the one or more captured images of the one or more subjects from the first image and the one or more captions associated with the first image of the one or more captured images to relevant social networks. 18. The computer system of claim 15, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined using a supervised learning classifier. 19. The computer system of claim 15, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined using a regression analysis. 20. The computer system of claim 15, wherein the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects are determined by analyzing the history of the one or more identified subjects using one or more past social network posts in one or more similar situations.