Methods and systems for an artificial intelligence advisory system for textual analysis

1. An artificial intelligence advisory system for textual analysis, the system comprising:

at least a server, wherein the at least a server is configured to:

receive at least a user input datum from a user client device of a user;

an advisory module operating on the at least a server, wherein the advisory module is configured to:

receive at least an advisory input from an advisor client device, wherein the advisory input comprises an advisory recommendation for the user to engage in a specific spiritual practice; and

generate at least an advisory instruction set as a function of the at least a user input datum and the at least an advisory input;

a label learner operating on the at least a server, wherein the label learner generates a plurality of advisory labels tailored to the user, wherein generating the plurality of advisory labels comprises:

determine a correctness probability for each of the plurality of advisory labels;

filter the plurality of advisory labels as a function of comparing the correctness probability for each of the plurality of advisory labels and a correctness probability threshold; and

an artificial intelligence advisor operating on the at least a server, wherein the artificial intelligence advisor is configured to:

generate at least a textual output as a function of the at least an advisory instruction set and the at least a user input datum;

receive at least a user input as a function of the at least a textual output through the user client device via an instant messaging protocol of the at least a server, wherein the at least a user input includes text;

verify the at least a user input as a function of a geolocation of the user;

communicate the at least a user input to the advisory module through a parsing module, wherein the parsing module is configured to classify a polarity of the text of the at least a user input and generate at least a query as a function of the at least a user input;

determine an informational response for the user as a function of the at least a query;

detect a consultation event using a consultation model configured to classify the user input to the consultation event, wherein the consultation model is trained with a training data set correlating keywords, from a keyword listing populated with expert data inputs, and phrases from a corpus that a supervised learning module has associated with consultation events; and

provide the informational response and the consultation event to the user client device through the instant messaging protocol of the at least a server.

2. The artificial intelligence advisory system of claim 1 , wherein the at least a server further comprises a diagnostic engine operating on the at least a server wherein the diagnostic engine is further configured to:

record at least a biological extraction from the user; and

generate a diagnostic output based on the at least a biological extraction.

3. The artificial intelligence advisory system of claim 2 , wherein the advisory module is further configured to receive a first training set including a plurality of first data entries, each first data entry of the plurality of first data entries including at least an element of diagnostic output data and at least a correlated advisory label.

4. The artificial intelligence advisory system of claim 3 , wherein the advisory module is further configured to generate the at least an advisory instruction set using a first machine-learning algorithm and the first training data.

5. The artificial intelligence advisory system of claim 1 , wherein the advisory module is further configured to receive a second training set including a plurality of second data entries, each second data entry of the plurality of second data entries including at least an element of the user input data and at least a correlated second advisory label.

6. The artificial intelligence advisory system of claim 1 , wherein the informational response comprises spiritual life coaching from an informed advisor.

7. The artificial intelligence advisory system of claim 1 , wherein generating at least an advisory instruction set further comprises:

generating a loss function of user-specific variables of the user; and

minimizing the loss function.

8. The artificial intelligence advisory system of claim 1 , wherein the parsing module is further configured to at least a textual output as a function of the at least a query.

9. An artificial intelligence advisory method of textual analysis, the method comprising:

receiving by at least a server at least a user input datum from a user client device of a user;

receiving by the at least a server at least an advisory input from an advisor client device, wherein the advisory input comprises an advisory recommendation for a user to engage in a specific spiritual practice;

generating by the at least a server at least an advisory instruction set as a function of the at least a user input datum and the at least an advisory input;

generating by the at least a label learner operating on the at least a server plurality of advisory labels tailored to the user, wherein generating the plurality of advisory labels comprises:

determining a correctness probability for each of the plurality of advisory labels;

filtering the plurality of advisory labels as a function of comparing the correctness probability for each of the plurality of advisory labels and a correctness probability threshold;

generating by the at least a server at least a textual output as a function of the at least an advisory instruction set and the at least a user input datum;

receiving by the at least a server at least a user input as function of the at least a textual output through the user client device via an instant messaging protocol of the at least a server, wherein the at least a user input includes text;

verifying the at least a user input as a function of a geolocation of the user;

communicating the at least a user input to the advisory module through a parsing module, wherein the parsing module is configured to classify a polarity of the text of the at least a user input and generate at least a query as a function of the at least a user input;

determining an informational response for the user as a function of the at least a query;

detecting a consultation event using a consultation model configured to classify the user input to the consultation event, wherein the consultation model is trained with a training data set correlating keywords, from a keyword listing populated with expert data inputs, and phrases from a corpus that a supervised learning module has associated with consultation events; and

providing the informational response and the consultation event to the user client device through the instant messaging protocol of the at least a server.

10. The artificial intelligence advisory method of claim 9 , wherein receiving further comprises:

recording by at least a server at least a biological extraction from the user; and

generating by at least a server a diagnostic output based on the at least a biological extraction.

11. The artificial intelligence advisory method of claim 10 further comprising receiving a first training set including a plurality of first data entries, each first data entry of the plurality of first data entries including at least an element of diagnostic output data and at least a correlated advisory label.

12. The artificial intelligence advisory method of claim 11 further comprising generating the at least an advisory instruction set using a first machine-learning algorithm and the first training data.

13. The artificial intelligence advisory method of claim 9 , wherein receiving further comprises receiving a second training set including a plurality of second data entries, each second data entry of the plurality of second data entries including at least an element of the user input data and at least a correlated second advisory label.

14. The artificial intelligence advisory method of claim 9 , wherein the informational response comprises spiritual life coaching from an informed advisor.

15. The artificial intelligence method of claim 9 , wherein generating at least an advisory instruction set further comprises:

generating a loss function of user-specific variables of the user; and

minimizing the loss function.

16. The artificial intelligence advisory method of claim 9 further comprising:

generating the at least a textual output as a function of the at least a query.

17. The artificial intelligence advisory system of claim 1 , wherein the keyword listing comprises user-specific keywords.

18. The artificial intelligence advisory system of claim 1 , wherein the consultation model is further configured to flag a user input correlated to an emergency based consultation event category.

19. The artificial intelligence advisory method of claim 9 , wherein the keyword listing comprises user-specific keywords.

20. The artificial intelligence advisory method of claim 9 , wherein the consultation model is further configured to flag a user input correlated to an emergency based consultation event category.