Methods, systems, and media for presenting comments based on correlation with content

1. A method for presenting ranked comments, the method comprising:

receiving, using a system comprising at least one hardware processor, a transcript of first text data corresponding to words in a video;

receiving a first user comment to be presented in connection with the video, wherein the first user comment includes second text data;

comparing at least a portion of second text data from the first user comment to the first text data from the transcript;

determining, based on the comparison, that the first user comment is quoting a group of words contained in the video;

generating a score for the first user comment based at least in part on how closely the first user comment is quoting the group of words contained in the video and based at least in part on the length of the quote;

receiving a second user comment to be presented in connection with the video, wherein the second user comment includes third text data;

comparing at least a portion of third text data from the second user comment to the first text data from the transcript;

determining, based on the comparison, that the second user comment is not quoting words contained in the video;

generating a score for the second user comment based at least in part on the determination that the second user comment is not quoting words contained in the video;

determining a ranking of a plurality of comments associated with the video including the first user comment and the second user comment based at least in part on the score for the first user comment and the score for the second user comment; and

causing at least the first user comment and the second user comment to be presented to in association with playback of the video, wherein the first user comment quoting the group of words contained in the video is associated with a link to a portion of the video that corresponds to the group of words.

2. The method of claim 1 , wherein the score for the first user comment is boosted based on the length of the quote.

3. The method of claim 2 , wherein determining the ranking further comprises comparing at least the score for the first user comment with the score for the second user comment.

4. The method of claim 1 , wherein the first text data comprises closed captioning data of words in the video.

5. The method of claim 1 , wherein the score for the first comment is based at least in part on a distance metric that represents the amount of differences between the quotation in the first user comment and the group of words in the video that are being quoted by the first user comment.

6. The method of claim 1 , further comprising highlighting the quotation in the first user comment during presentation of the first user comment to indicate that it is a quotation of a group of words in the video.

7. The method of claim 6 , wherein highlighting the quotation in the first user comment comprises causing the quotation to be presented as a hyperlink, wherein selection of the hyperlink causes playback of the video to commence from a portion of the video that corresponds to the quotation.

8. A system for presenting ranked comments, the system comprising:

one or more hardware processors that are programmed to:

receive a transcript of first text data corresponding to words in a video;

receive a first user comment to be presented in connection with the video, wherein the first user comment includes second text data;

compare at least a portion of second text data from the first user comment to the first text data from the transcript;

determine, based on the comparison, that the first user comment is quoting a group of words contained in the video;

generate a score for the first user comment based at least in part on how closely the first user comment is quoting the group of words contained in the video and based at least in part on the length of the quote;

receive a second user comment to be presented in connection with the video, wherein the second user comment includes third text data;

compare at least a portion of third text data from the second user comment to the first text data from the transcript;

determine, based on the comparison, that the second user comment is not quoting words contained in the video;

generate a score for the second user comment based at least in part on the determination that the second user comment is not quoting words contained in the video;

determine a ranking of a plurality of comments associated with the video including the first user comment and the second user comment based at least in part on the score for the first user comment and the score for the second user comment; and

cause at least the first user comment and the second user comment to be presented to in association with playback of the video, wherein the first user comment quoting the group of words contained in the video is associated with a link to a portion of the video that corresponds to the group of words.

9. The system of claim 8 , wherein the score for the first user comment is boosted based on the length of the quote.

10. The system of claim 9 , wherein the one or more hardware processors are further programmed to compare at least the score for the first user comment with the score for the second user comment.

11. The system of claim 8 , wherein the first text data comprises closed captioning data of words in the video.

12. The system of claim 8 , wherein the score for the first comment is based at least in part on a distance metric that represents the amount of differences between the quotation in the first user comment and the group of words in the video that are being quoted by the first user comment.

13. The system of claim 8 , wherein the one or more hardware processors are further programmed to highlight the quotation in the first user comment during presentation of the first user comment to indicate that it is a quotation of a group of words in the video.

14. The system of claim 13 , wherein the one or more hardware processors are further programmed to cause the quotation to be presented as a hyperlink, wherein selection of the hyperlink causes playback of the video to commence from a portion of the video that corresponds to the quotation.

15. A non-transitory computer-readable medium containing computer-executable instructions that, when executed by a processor, cause the processor to perform a method for presenting ranked comments, the method comprising:

receiving a transcript of first text data corresponding to words in a video;

receiving a first user comment to be presented in connection with the video, wherein the first user comment includes second text data;

comparing at least a portion of second text data from the first user comment to the first text data from the transcript;

determining, based on the comparison, that the first user comment is quoting a group of words contained in the video;

generating a score for the first user comment based at least in part on how closely the first user comment is quoting the group of words contained in the video and based at least in part on the length of the quote;

receiving a second user comment to be presented in connection with the video, wherein the second user comment includes third text data;

comparing at least a portion of third text data from the second user comment to the first text data from the transcript;

determining, based on the comparison, that the second user comment is not quoting words contained in the video;

generating a score for the second user comment based at least in part on the determination that the second user comment is not quoting words contained in the video;

determining a ranking of a plurality of comments associated with the video including the first user comment and the second user comment based at least in part on the score for the first user comment and the score for the second user comment; and

causing at least the first user comment and the second user comment to be presented to in association with playback of the video, wherein the first user comment quoting the group of words contained in the video is associated with a link to a portion of the video that corresponds to the group of words.

16. The non-transitory computer-readable medium of claim 15 , wherein the score for the first user comment is boosted based on the length of the quote.

17. The non-transitory computer-readable medium of claim 16 , wherein determining the ranking further comprises comparing at least the score for the first user comment with the score for the second user comment.

18. The non-transitory computer-readable medium of claim 15 , wherein the first text data comprises closed captioning data of words in the video.

19. The non-transitory computer-readable medium of claim 15 , wherein the score for the first comment is based at least in part on a distance metric that represents the amount of differences between the quotation in the first user comment and the group of words in the video that are being quoted by the first user comment.

20. The non-transitory computer-readable medium of claim 15 , wherein the method further comprises highlighting the quotation in the first user comment during presentation of the first user comment to indicate that it is a quotation of a group of words in the video.

21. The non-transitory computer-readable medium of claim 20 , wherein highlighting the quotation in the first user comment comprises causing the quotation to be presented as a hyperlink, wherein selection of the hyperlink causes playback of the video to commence from a portion of the video that corresponds to the quotation.