System and method for providing users feedback regarding their reading habits
View Patent ↗Various embodiments of the present disclosure relate to systems and methods for dynamically modifying images based on the content of articles associated with the images, particularly the emotional content of an article. Among other things, embodiments of the present disclosure allow users to quickly and easily identify the emotional nature of an article based on such an image. Characteristics of an image associated with an article may also be modified in response to comments from viewers regarding the article.
1. A method, comprising:
prior to displaying an article having a visual characteristic on a user device, analyzing content in the article to identify emotional content of the article and an image associated with the article, the analyzing content in the article including performing an image recognition process on the image;
modifying, based on the identified emotional content, the visual characteristic of the article;
receiving, from at least one social media source, comments regarding the article;
analyzing the comments;
modifying, based on analyzing the comments, the visual characteristic of the article, wherein the characteristic modified is a different characteristic than the characteristic modified based on the identified emotional content; and
after modifying the visual characteristic of the article based on analyzing the comments, transmitting the article to the user device for display.
2. The method of claim 1 , wherein the visual characteristic is at least one of a size, a shape, or a color.
3. The method of claim 1 , wherein the visual characteristic is modified at least based on a volume of the received comments.
4. The method of claim 1 , wherein the visual characteristic is modified at least based on at least one keyword in the received comments.
5. The method of claim 1 , wherein the visual characteristic is modified at least based on a manner in which each viewer responds to the article.
6. The method of claim 5 , wherein the manner in which each viewer responds to the article is a respective rating of the article.
7. The method of claim 1 , wherein the comments are first comments, the method further comprising:
after modifying the visual characteristic of the article based on analyzing the first comments, receiving second comments regarding the article;
analyzing the second comments;
modifying, based on analyzing the second comments, the visual characteristic of the article; and
after modifying the visual characteristic of the article based on analyzing the second comments, transmitting the article to the user device for display.
8. A system comprising:
a processor; and
a storage medium in communication with the processor for storing thereon computer instructions that, when executed by the processor, cause the system to:
analyze content in a first article to identify emotional content of the article and an image associated with the article, wherein analyzing the content includes performing an image recognition process on the image;
modify, based on the identified emotional content, a visual characteristic of the first article;
receive, from at least one social media source, comments regarding the first article;
analyze the comments;
modify, based on analyzing the comments, a visual characteristic of a second article, wherein the characteristic modified is a different characteristic than the characteristic modified based on the identified emotional content; and
after modifying the visual characteristic of the second article, cause the second article to be presented on a display of a user device.
9. The system of claim 8 , wherein the computer instructions further cause the system to:
modify, based on analyzing the comments, the visual characteristic of the first article; and
after modifying the visual characteristic of the first article, cause the first article to be presented on the display of the user device.
10. The system of claim 8 , wherein the computer instructions further cause the system to:
identify keywords in the first article; and
assign weights to each of the keywords;
wherein modifying the visual characteristic of at least one of the first article or the second article is based at least on the assigned weights.
11. The system of claim 8 , wherein:
analyzing the content in the first article further includes analyzing audio content; and
modifying the visual characteristic of the first article is further based on analyzing the audio content.
12. A non-transitory computer-readable medium storing instructions that, when executed by a processor of a computer system, cause the computer system to:
analyze content in an article to identify emotional content of the article and an image associated with the article, wherein analyzing the content comprises performing an image recognition process;
receive, from at least one social media source, comments regarding the article;
analyze the comments;
modify, based on the identified emotional content and analyzing the comments, a visual characteristic of the article, wherein the characteristic modified based on analyzing the comments is a different characteristic than the characteristic modified based on the identified emotional content; and
after modifying the visual characteristic of the article, transmit the article to a user device for display.
13. The non-transitory computer-readable medium of claim 12 , wherein the visual characteristic is a shading, and the instructions further cause the computer system to vary the shading as additional comments are received from the at least one social media source.
14. The non-transitory computer-readable medium of claim 12 , wherein the article is transmitted to the user device as part of a content digest.
15. The non-transitory computer-readable medium of claim 12 , wherein the visual characteristic is a first visual characteristic, and the instructions further cause the computer system to modify a second visual characteristic of the article based on additional comments received from the at least one social media source.
16. The non-transitory computer-readable medium of claim 12 , wherein the article is posted on a website, and the comments regarding the article are received from viewers of the article on the website.
17. The non-transitory computer-readable medium of claim 12 , wherein the visual characteristic is modified further based on a volume of the comments.
18. The non-transitory computer-readable medium of claim 17 , wherein the visual characteristic is modified further based on at least one keyword in the comments.
19. The non-transitory computer-readable medium of claim 12 , wherein the instructions further cause the computer system to:
identify keywords in the article; and
assign weights to each of the keywords;
wherein modifying the visual characteristic is based at least on the assigned weights.
20. The non-transitory computer-readable medium of claim 12 , wherein the article is a first article, and the instructions further cause the computer system to:
modify, based on analyzing at least one of the content or the comments, a visual characteristic of a second article; and
after modifying the visual characteristic of the second article, cause the second article to be presented on a display of the user device.