Systems and methods for parsing and correlating solicitation video content

1. A system for parsing and correlating solicitation video content, the system comprising a computing device configured to:

receive a solicitation video related to a subject, wherein the solicitation video comprises:

at least an image component, wherein the at least an image component comprises non-verbal content; and

at least an audio component, wherein the at least an audio component comprises audible verbal content related to at least an attribute of the subject;

transcribe at least a keyword as a function of the at least an audio component using an automatic speech recognition process, wherein the automatic speech recognition process comprises performing voice recognition on the audio component in order to identify a speaker and further comprises a speaker dependent automatic speech recognition process which is a type of automatic speech recognition process that uses training that is specific to the speaker;

classify, using a machine vision process comprising a classifier, the non-verbal content to at least a feature,

associate the subject with at least a job description as a function of the at least a keyword and the at least a feature; and

calculate a ranking of the subject out of a plurality of candidates, wherein the ranking is based on a description-centric ranking factor.

2. The system of claim 1 , wherein the computing device is further configured to determine a relevance as a function of the association between the subject and the at least a job description.

3. The system of claim 2 , wherein the at least a job description comprises a plurality of job descriptions.

4. The system of claim 3 , wherein the computing device is further configured to rank each job description of the plurality of job descriptions as a function of the relevance of the association between the subject and the at least a job description.

5. The system of claim 1 , wherein the at least a feature comprises a feature representing an attribute of a manner of dress of the subject.

6. The system of claim 1 , wherein associating the subject with the at least a job description comprises querying a plurality of job descriptions for a presence of the at least a keyword, wherein querying the plurality of job descriptions for the presence of the at least a keyword comprises performing a text search of the plurality of job descriptions for the at least a keyword.

7. The system of claim 1 , wherein classifying the non-verbal content to at least a feature comprises classifying the non-verbal content to at least a feature using pose estimation.

8. The system of claim 1 , wherein the at least a feature comprises a feature representing an attribute of a facial expression of the subject.

9. A method for parsing and correlating solicitation video content, the method comprising:

receiving, by a computing device, a solicitation video related to a subject, wherein the solicitation video comprises:

at least an image component, wherein the at least an image component comprises non-verbal content; and

at least an audio component, wherein the at least an audio component comprises audible verbal content related to at least an attribute of the subject;

transcribing, by the computing device, at least a keyword as a function of the at least an audio component using an automatic speech recognition process, wherein the automatic speech recognition process comprises performing voice recognition on the audio component in order to identify a speaker and further comprises a speaker dependent automatic speech recognition process which is a type of automatic speech recognition process that uses training that is specific to the speaker;

classifying, by the computing device using a machine vision process comprising a classifier, the non-verbal content to at least a feature;

associating, by the computing device, the subject with at least a job description as a function of the at least a keyword and the at least a feature; and

calculating, by the computing device, a ranking of the subject out of a plurality of candidates, wherein the ranking is based on a description-centric ranking factor.

10. The method of claim 9 , wherein the at least a feature comprises a feature representing an attribute of a manner of dress of the subject.

11. The method of claim 9 , wherein associating the subject with the at least a job description comprises querying a plurality of job descriptions for a presence of the at least a keyword, wherein querying the plurality of job descriptions for the presence of the at least a keyword comprises performing a text search of the plurality of job descriptions for the at least a keyword.

12. The method of claim 9 , further comprising determining, by the computing device, a relevance as a function of the association between the subject and the at least a job description.

13. The method of claim 12 , wherein the at least a job description comprises a plurality of job descriptions.

14. The method of claim 13 , further comprising ranking, by the computing device, each job description of the plurality of job descriptions as a function of the relevance of the association between the subject and the at least a job description.

15. The method of claim 9 , wherein classifying the non-verbal content to at least a feature comprises classifying the non-verbal content to at least a feature using pose estimation.

16. The method of claim 9 , wherein the at least a feature comprises a feature representing an attribute of a facial expression of the subject.