Disclosed herein are systems and methods for automatic metadata tagging and cataloging of optimal actionable intelligence. According to an aspect, a method for automatic metadata tagging and cataloging optimal actionable intelligence includes using at least one processor and memory for receiving at least one training attribute of a plurality of pre-identified attributes. The method further includes creating at least one metadata classifier tag based on the at least one training attribute. The method also includes receiving a data feed from at least one data feed source for analysis based on the at least one metadata classifier tags. The method also includes applying the created metadata classifier tags to the data feed. The method further includes detecting a sensor event based on the applied metadata classifier tag to the data feed.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for automatic metadata tagging and cataloging optimal actionable intelligence, the method comprising: using at least one processor and memory for: receiving at least one training attribute of a plurality of pre-identified attributes; creating at least one metadata classifier tag based on the at least one training attribute; receiving a data feed from at least one data feed source for analysis based on the at least one metadata classifier tags; applying the created metadata classifier tags to the data feed; and detecting a sensor event based on the applied metadata classifier tag to the data feed. 2. The method of claim 1, further comprising generating a notification of a sensor event based on the at least one metadata classifier tag. 3. The method of claim 2, wherein generating the notification of a sensor event comprises referencing a video clip out portion comprising the sensor event. 4. The method of claim 3, wherein the video clip out event is based on a variable time lapse scale. 5. The method of claim 1, further comprising determining an analysis priority of the data feed in response to generating a metadata catalogue. 6. The method of claim 1, further comprising storing the at least one training attribute as the at least one metadata classifier tag based on the pre-identified attributes. 7. The method of claim 6, wherein the pre-identified attribute is at least one of a person, an object, a geographical location and a time. 8. The method of claim 1, recording the received data feed. 9. The method of claim 1, wherein the data feed from the at least one data feed source is in a data format comprising at least one of text, audio and video. 10. The method of claim 1, wherein receiving at least one training attribute is comprised of receiving a user input from at least one of a keyboard, a display, a digital input pad, an audio input and a video input. 11. A system for automatic metadata tagging and cataloging optimal actionable intelligence, the system comprising: a computing device comprising a processor and memory, wherein the computing device is configured to: receive at least one training attribute of a plurality of pre-identified attributes; create at least one metadata classifier tag based on the at least one training attribute; receive a data feed from at least one data feed source for analysis based on the at least one metadata classifier tags; apply the created metadata classifier tags to the data feed; and detect a sensor event based on the applied metadata classifier tag to the data feed. 12. The system of claim 11, wherein the computing device is further configured to generate a notification of a sensor event based on the at least one metadata classifier tag. 13. The system of claim 12, wherein generating the notification of a sensor event comprises a reference to a video clip out portion comprising the sensor event. 14. The system of claim 13, wherein the video clip out is based on a variable time lapse scale. 15. The system of claim 1, wherein the computing device is further configured to determine an analysis priority of the data feed in response to generating a metadata catalogue. 16. The system of claim 1, wherein the computing device is further configured to store the at least one training attribute as the at least one metadata classifier tag based on the pre-identified attributes. 17. The system of claim 16, wherein the pre-identified attribute is at least one of a person, an object, a geographical location and a time. 18. The system of claim 1, wherein the computing device is further configured to record the received data feed. 19. The system of claim 1, wherein the data feed from the at least one data feed source is in a data format comprising at least one of text, audio and video. 20. The system of claim 1, wherein the computing device is configured to receive at least one training attribute as a user input from at least one of a keyboard, a display, a digital input pad, an audio input and a video input.