SYSTEMS AND METHODS FOR CLASSIFYING MEDIA ACCORDING TO USER NEGATIVE PROPENSITIES

1 . A system for classifying media according to user negative propensities, the system comprising a computing device, the computing device further configured to:

obtain a physiological state data as a function of a user input;

identify a user propensity for problematic behavior associated with a human subject as a function of the physiological state data, wherein the user propensity for problematic behavior identifies a problematic behavior from a predetermined plurality of problematic behaviors, wherein identifying the user propensity for problematic behavior further comprises:

receiving, from a remote device, an indication that the human subject is engaging in a problematic behavior associated with the user propensity for problematic behavior; and

generating the user propensity for problematic behavior using the indication that the human subject is engaging in a problematic behavior;

receive a media item to be transmitted to a device operated by the human subject;

identify a principal theme associated with the media item, wherein identifying the principal theme further comprises:

training a media theme machine-learning classifier using a classification algorithm and media training data, wherein the media training data includes a plurality of media items correlated with a plurality of principal themes; and

generating the principal theme using the trained media theme machine-learning classifier as a function of the media element; and

block transmission of the media item to the device operated by the human subject as a function of the principal theme and the user propensity for problematic behavior.

2 . The system of claim 1 , wherein the remote device comprises a device operated by the human subject.

3 . The system of claim 1 , wherein the remote device comprises a device operated by a person other than the human subject.

4 . The system of claim 1 , wherein the transmission of the media item to the device operated by the human subject is blocked for a set period of time.

5 . The system of claim 1 , wherein identifying the user propensity for problematic behavior is done as a function of whether the human subject is undergoing treatment for a problematic behavior.

6 . The system of claim 1 , wherein the computing device is further configured to transmit to the device operated by the human subject a datum causing the device operated by the human subject to display a coaching message.

7 . The system of claim 1 , wherein the remote device and the device operated by the human subject are different devices.

8 . The system of claim 1 , wherein the computing device is further configured to confirm with an advisor whether media with a particular principal theme should be blocked, and wherein blocking transmission of the media item to the device operated by the human subject is done as a function of the confirmation.

9 . The system of claim 1 , wherein blocking transmission of the media item involves matching the principal theme to the user propensity for problematic behavior.

10 . The system of claim 1 , wherein identifying the principal theme includes extracting a plurality of media item content elements from the media item.

11 . A method for classifying media according to user negative propensities, the method comprising:

obtaining, by a computing device, a physiological state data as a function of a user input;

identifying, by the computing device, a user propensity for problematic behavior associated with a human subject as a function of the physiological state data, wherein the user propensity for problematic behavior identifies a problematic behavior from a predetermined plurality of problematic behaviors, wherein identifying the user propensity for problematic behavior further comprises:

receiving, from a remote device, an indication that the human subject is engaging in a problematic behavior associated with the user propensity for problematic behavior; and

generating the user propensity for problematic behavior using the indication that the human subject is engaging in a problematic behavior;

receiving, by the computing device, a media item to be transmitted to a device operated by the human subject;

identifying, by the computing device, a principal theme associated with the media item, wherein identifying the principal theme further comprises:

training a media theme machine-learning classifier using a classification algorithm and media training data, wherein the media training data includes a plurality of media items correlated with a plurality of principal themes; and

generating the principal theme using the trained media theme machine-learning classifier as a function of the media element; and

blocking, by the computing device, transmission of the media item to the device operated by the human subject as a function of the principal theme and the user propensity for problematic behavior.

12 . The method of claim 11 , wherein the remote device comprises a device operated by the human subject.

13 . The method of claim 11 , wherein the remote device comprises a device operated by a person other than the human subject.

14 . The method of claim 11 , wherein the transmission of the media item to the device operated by the human subject is blocked for a set period of time.

15 . The method of claim 11 , wherein identifying the user propensity for problematic behavior is done as a function of whether the human subject is undergoing treatment for a problematic behavior.

16 . The method of claim 11 , further comprising transmitting to the device operated by the human subject a datum causing the device operated by the human subject to display a coaching message.

17 . The method of claim 11 , wherein the remote device and the device operated by the human subject are different devices.

18 . The method of claim 11 , further comprising confirming with an advisor whether media with a particular principal theme should be blocked, and wherein blocking transmission of the media item to the device operated by the human subject is done as a function of the confirmation.

19 . The method of claim 11 , wherein blocking transmission of the media item involves matching the principal theme to the user propensity for problematic behavior.

20 . The method of claim 11 , wherein identifying the principal theme includes extracting a plurality of media item content elements from the media item.