Apparatuses and methods for the collection and storage of user identifiers

1. An apparatus for the collection and storage of user identifiers, the apparatus comprising:

at least a processor; and

a memory communicatively connected to the at least a processor, the memory containing instructions configuring the at least a processor to:

receive user identifier data containing a plurality of content elements, wherein the plurality of content elements comprises at least a user role;

identify a plurality of user identifier labels,

wherein identifying the plurality of user identifier labels comprises:

training a user classifier using a training dataset, wherein the training dataset comprises user identifier data correlated to previous user identifier labels, the previous user identifier labels including previous outputs of the user classifier;

identifying the plurality of user identifier labels as a function of the user identifier data and the user classifier, wherein the classifier is configured to receive the user identifier data as input and output at least a user identifier label;

extract, from the user identifier data, the plurality of content elements;

classify each content element of the plurality of content elements to an associated user identifier label of the plurality of user identifier labels using a content element classifier; and

enter the plurality of user identifier content elements and associated user identifier labels on an immutable sequential listing.

2. The apparatus of claim 1 , wherein receiving user identifier data further comprises:

receiving a user historical document; and

extracting the user identifier data from the user historical document.

3. The apparatus of claim 1 , wherein receiving the user identifier data further comprises receiving the user identifier data from a user input device.

4. The apparatus of claim 1 , wherein receiving user identifier data containing a plurality of content elements comprises mapping the plurality of content elements to data on the immutable sequential listing.

5. The apparatus of claim 4 , wherein receiving user identifier data containing a plurality of content elements further comprises classifying a plurality of mapped data to at least a user identifier.

6. The apparatus of claim 1 , wherein identifying a plurality of user identifier labels further involves classifying a content element to a user identifier label.

7. The apparatus of claim 1 , wherein identifying a plurality of user identifier labels further comprises identifying a user identifier label field.

8. The apparatus of claim 1 , wherein a user identifier label of the plurality of user identifier labels is associated with a user role of the at least a user role.

9. The apparatus of claim 1 , wherein extracting the plurality of content element further comprises:

extracting a plurality of textual elements from the user identifier data; and

classifying the plurality of textual elements to the plurality of user identifiers labels using a linguistic item classifier.

10. The apparatus of claim 1 , wherein identifying a plurality of user identifier labels comprises validating the received user identifier data.

11. A method for the collection and storage of user identifiers,

wherein the method is performed by a processor and comprises:

receiving, at the processor, user identifier data containing a plurality of content elements, wherein the plurality of content elements comprises at least a user role;

identifying, at the processor, a plurality of user identifier labels as a function of the user identifier data, wherein identifying the plurality of user identifier labels comprises:

training a user classifier using a training dataset, wherein the training dataset comprises user identifier data correlated to previous user identifier labels, the previous user identifier labels including previous outputs of the user classifier;

identifying the plurality of user identifier labels as a function of the user identifier data and the user classifier, wherein the classifier is configured to receive the user identifier data as input and output at least a user identifier label;

extracting, at the processor, from the user identifier data, the plurality of content elements;

classifying, at the processor, each content element of the plurality of content elements to an associated user identifier label of the plurality of user identifier labels using a content element classifier; and

entering, at the processor, the plurality of user identifier content elements and associated user identifier labels on an immutable sequential listing.

12. The method of claim 11 , wherein receiving user identifier data further comprises:

receiving a user historical document; and

extracting the user identifier data from the user historical document.

13. The method of claim 11 , wherein receiving the user identifier data further comprises receiving the user identifier data from a user input device.

14. The method of claim 11 , wherein receiving user identifier data containing a plurality of content elements comprises mapping the plurality of content elements to data on the immutable sequential listing.

15. The method of claim 14 , wherein receiving user identifier data containing a plurality of content elements further comprises classifying a plurality of mapped data to at least a user identifier.

16. The method of claim 11 , wherein identifying a plurality of user identifier labels further involves classifying a content element to a user identifier label.

17. The method of claim 11 , wherein identifying a plurality of user identifier labels further comprises identifying a user identifier label field.

18. The method of claim 11 , wherein a user identifier label of the plurality of user identifier labels is associated with a user role of the at least a user label.

19. The method of claim 11 , wherein extracting the plurality of content element further comprises:

extracting a plurality of textual elements from the user identifier data; and

classifying the plurality of textual elements to the plurality of user identifiers labels using a linguistic item classifier.

20. The method of claim 11 , wherein identifying a plurality of user identifier labels comprises validating the received user identifier data.