Systems and methods for identifying phrases in digital content that are trending
The present disclosure is directed to systems and methods to identify trending or temporally popular phrases based on aggregating multiple users' interactions with an aggregate of content. A server may receive identification of a plurality of clicks of encoded uniform resource locator (URL) links. The server may identify, for each of the plurality of clicks, in content identified from decoding the encoded URL links, a plurality of phrases that correspond to a predetermined set of keywords. The server may determine a velocity of clicks on content corresponding to each phrase of the plurality of phrases and identify a trend in one or more phrases of the plurality of phrases based on the velocity of clicks.
1. A method for identifying trends in phrases of content based on user interaction with the content, the method comprising:
(a) receiving, by a server of a linking system, identification of a plurality of clicks of encoded uniform resource locator (URL) links, each of the encoded URL links encoded by the server of the linking system and linked to a URL corresponding to a destination server;
(b) identifying, by the server, for each of the plurality of clicks, in content identified from decoding the encoded URL links, a plurality of phrases that correspond to a predetermined set of keywords;
(c) determining, by the server, a velocity of clicks on content corresponding to each phrase of the plurality of phrases;
(d) identifying, by the server, a trend in one or more phrases of the plurality of phrases based on the velocity of clicks.
2. The method of claim 1 , wherein step (a) further comprises receiving, by the server, identification of the plurality of clicks from a plurality of different users via a plurality of different sources.
3. The method of claim 1 , wherein step (b) further comprises decoding, by the server, each of the encoded URL links to obtain a URL to the content.
4. The method of claim 1 , wherein step (b) further comprises identifying the plurality of phrases in the content based on one of text or meta-data in the content.
5. The method of claim 1 , wherein step (b) further comprises identifying one or phrases of the plurality of phrases in the content that deviates from a predetermined norm for the content.
6. The method of claim 1 , wherein step (c) further comprises determining the velocity, by the server, based on a number of clicks via one or more encoded URL links of the encoded URL links within a predetermined time period on content corresponding to a phrase.
7. The method of claim 1 , wherein step (c) further comprises determining velocity, by the server, based on a rate of clicks via one or more encoded URL links of the encoded URL links to content corresponding to a phrase.
8. The method of claim 1 , wherein step (c) further comprises determining velocity, by the server, based on a change in rate of clicks via one or more encoded URL links of the encoded URL links to content corresponding to a phrase.
9. The method of claim 1 , wherein step (d) further comprises enumerating, by the server, a list of phrases from the plurality of phrases based on an increasing velocity of clicks.
10. The method of claim 1 , wherein step (d) further comprises enumerating, by the server, a list of phrases from the plurality of phrases based on a decreasing velocity of clicks.
11. A system for identifying trends in phrases of content based on user interaction with the content, the system comprising:
a server receiving identification of a plurality of clicks of encoded uniform resource locator (URL) links, each of the encoded URL links encoded by the server of the linking system and linked to a URL corresponding to a destination server, the server comprising a hardware processor;
a content extractor, executing on the processor the server, identifying, for each of the plurality of clicks, in content identified from decoding the encoded URL links, a plurality of phrases that correspond to a predetermined set of keywords; and
a trending engine, executing on the processor of the server, determining a velocity of clicks on content corresponding to each phrase of the plurality of phrases and identifying a trend in one or more phrases of the plurality of phrases based on the velocity of clicks.
12. The system of claim 11 , wherein the server receives identification of the plurality of clicks from a plurality of different users via a plurality of different sources.
13. The system of claim 11 , wherein the server decodes each of the encoded URL links to obtain a URL to the content.
14. The system of claim 11 , wherein the content extractor identifies the plurality of phrases in the content based on one of text or meta-data in the content.
15. The system of claim 11 , wherein the content extractor identifies one or phrases of the plurality of phrases in the content that deviates from a predetermined norm for the content.
16. The system of claim 11 , wherein the trending engine determines the velocity based on a number of clicks via one or more encoded URL links of the encoded URL links within a predetermined time period on content corresponding to a phrase.
17. The system of claim 11 , wherein the trending engine determines the velocity based on a rate of clicks via one or more encoded URL links of the encoded URL links to content corresponding to a phrase.
18. The system of claim 11 , wherein the trending engine determines the velocity based on a change in rate of clicks via one or more encoded URL links of the encoded URL links to content corresponding to a phrase.
19. The system of claim 11 , wherein the trending engine enumerates a list of phrases from the plurality of phrases based on an increasing velocity of clicks.
20. The system of claim 11 , wherein the trending engine enumerates a list of phrases from the plurality of phrases based on a decreasing velocity of clicks.