IP Library Granted Patent US 10,878,020
Granted Patent B2
US 10,878,020 · App. 15/692,059 · Granted Dec 29, 2020

Automated extraction tools and their use in social content tagging systems

Inventor: Nikhil Pai (New York, NY)
Assignee: Hootsuite Media Inc.
G06F16/435G06F16/434G06F16/438G06F16/9535
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Quick Facts
Patent No.
US 10,878,020
App. No.
15/692,059
Granted
Dec 29, 2020
Kind
B2
Abstract

The present invention relates to novel methods, tools and systems that provide for true automatic tagging of social content that overcome the deficiencies of existing techniques, and their requirement of static tag creation. In particular, the present invention relates to automated extraction tools and their use in creating tags through automated analysis of social media content, and further using the created tags in systems to associate the tag with the original content, e.g., based on user settings.

Claims (32)

1. An automated extraction tool comprising a non-transitory machine-readable medium having instructions stored thereon for execution by a processor to perform a method comprising the steps of:

analyzing social content using a set of automation logic parameters (ALP) to identify metadata content by rules adopted for analysis of images, keywords, links, websites, platform specific information, and third party partners for creating one or more tags;

extracting the identified metadata; and

creating one or more tags from the extracted metadata using tag conversion rules,

such that one or more tags is automatically created based on the identified metadata.

2. The automated extraction tool of claim 1 , wherein the method further comprises the step of collecting the social content to analyze.

3. The automated extraction tool of claim 1 , wherein the automation logic parameters includes a filtering parameter.

4. The automated extraction tool of claim 1 , wherein the automatic logic parameters are capable of modification.

5. The automated extraction tool of claim 1 , wherein the social content is selected from the group consisting of a URL destination, a link, an image, text, and any combination thereof.

6. The automated extraction tool of claim 1 , wherein the tag conversion rules for creating tags are capable of modification.

7. The automated extraction tool of claim 1 , wherein the method further comprises the step of presenting an array of tags.

8. The automated extraction tool of claim 1 , wherein the method further comprises the step of storing the extracted metadata on a second machine-readable medium.

9. The automated extraction tool of claim 1 , wherein the method further comprises the step of storing on or more of the created tags on a third machine-readable medium.

10. The automated extraction tool of claim 1 , wherein the method is iteratively performed, e.g., to account for updating social content.

11. The automated extraction tool of claim 1 , wherein the automation logic parameters includes the step of normalization and enrichment of the social content.

12. The automated extraction tool of claim 1 , wherein the machine-readable medium is selected from the group consisting of magnetic media, punched cards, paper tapes, optical disks, barcodes, magnetic ink characters, and solid state devices.

13. The automated extraction tool of claim 12 , wherein the machine-readable medium is one or more network server disks.

14. A system for automated social content tagging comprising

an automated extraction tool of claim 1 , and

a fourth machine-readable medium having instructions stored thereon for execution by a processor to perform a method comprising the step of: associating one or more tags obtained from the automated extraction tool with the original analyzed social content.

15. A method of automatically creating tags from social content comprising the steps of:

analyzing social content using a set of automation logic parameters (ALP) to identify metadata content by rules adopted for analysis of images, keywords, links, websites, platform specific information, and third party partners for creating one or more tags;

extracting the identified metadata; and

creating one or more tags from the extracted metadata using tag conversion rules,

such that one or more tags is automatically created based on the identified metadata.

16. The method of claim 15 , wherein the method further comprises the step of collecting the social content to analyze.

17. The method of claim 15 , wherein the social content is selected from the group consisting of a URL destination, a link, an image, text, and any combination thereof.

18. The method of claim 15 , wherein the method further comprises the step of presenting an array of tags.

19. The method of claim 15 , wherein the method further comprises the step of storing the extracted metadata on a second machine-readable medium.

20. The method of claim 15 , wherein the method further comprises the step of storing on or more of the created tags on a third machine-readable medium.

21. The method of claim 15 , wherein the automation logic parameters includes the step of normalization and enrichment of the social content.

22. The method of claim 15 , wherein the method further comprises the step of associating one or more tags with the original analyzed social content.

Assignments (4)
RELEASE OF SECURITY INTEREST Recorded May 31, 2024
From: JPMORGAN CHASE BANK, N.A.
To: HOOTSUITE INC.; HEYDAY TECHNOLOGIES INC.
Reel/Frame 067564/0805 →
CANADIAN PATENT SECURITY AGREEMENT Recorded May 22, 2024
From: HOOTSUITE INC.
To: SILVER POINT FINANCE, LLC
Reel/Frame 067502/0324 →
SECURITY INTEREST Recorded Jul 1, 2022
From: HOOTSUITE INC.; HEYDAY TECHNOLOGIES INC.
To: JPMORGAN CHASE BANK, N.A., AS ADMINISTRATIVE AGENT
Reel/Frame 060421/0939 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Nov 24, 2020
From: PAI, NIKHIL
To: HOOTSUITE MEDIA INC.
Reel/Frame 054453/0609 →
Continuity (2)
Provisional Application 62451135 · Jan 27, 2017
Related Publication 20180217986A1 · Aug 2, 2018
Cited By (2)
US 12,204,317 US 12,487,590