Apparatuses and methods for parsing and comparing video resume duplications

Abstract

Aspects relate to apparatuses and methods for parsing and comparing resume video duplications. An exemplary apparatus includes a memory communicatively connected to at least a processor and includes instructions configuring the at least a processor to acquire a plurality of video elements from an existing video resume, wherein the existing video resume includes at least an image component, recognize subject-specific data of the existing video resume as a function of the at least an image component, wherein the subject-specific data includes verbal content and non-verbal content, recognize at least a keyword of the existing video resume as a function of the subject-specific data, recognize at least a feature of the existing video resume as a function of the subject-specific data, compare the subject-specific data to a target video resume and determine, as a function of the comparison result, a duplication coefficient for the target resume video.

What is claimed is: 
     
         1 . An apparatus for parsing and comparing resume video duplications, 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:
 acquire a plurality of video elements from an existing video resume, wherein the existing video resume comprises at least an image component; 
 recognize subject-specific data of the existing video resume as a function of the at least an image component, wherein the subject-specific data comprises verbal content and non-verbal content; 
 recognize at least a keyword of the existing video resume as a function of the subject-specific data; 
 recognize at least a feature of the existing video resume as a function of the subject-specific data; 
 compare the subject-specific data to a target video resume; and 
 determine, as a function of the comparison result, a duplication coefficient for the target resume video. 
   
     
     
         2 . The apparatus of  claim 1 , wherein the at least a processor is further configured to recognize the at least a keyword of the existing video resume as a function of the at least an image component using optical character recognition. 
     
     
         3 . The apparatus of  claim 1 , wherein the at least a processor is further configured to recognize the at least a feature of the existing video resume as a function of the verbal content of the subject-specific data of the existing video resume. 
     
     
         4 . The apparatus of  claim 1 , wherein the at least a processor is further configured to recognize the verbal content of the existing video resume using an audiovisual speech recognition process. 
     
     
         5 . The apparatus of  claim 1 , wherein the at least a processor is further configured to recognize the verbal content and the non-verbal content as a function of the at least an image component using a machine vision process. 
     
     
         6 . The apparatus of  claim 1 , wherein the at least a processor is further configured to query a target video feature keyword of the target video resume. 
     
     
         7 . The apparatus of  claim 6 , wherein the at least a processor is further configured to query the at least an image component of the existing video resume as a function of the target video feature keyword. 
     
     
         8 . The apparatus of  claim 1 , wherein the at least a processor is further configured to classify the non-verbal content of the existing video resume to the target video using a non-verbal classifier. 
     
     
         9 . The apparatus of  claim 1 , wherein comparing the subject-specific data to the target video resume comprises comparing the subject-specific data to job descriptive data using a candidate classifier. 
     
     
         10 . The apparatus of  claim 9 , wherein the at least a processor is further configured to rank two or more existing video resumes based on a relevance to the target video resume using the candidate classifier. 
     
     
         11 . A method for parsing and comparing resume video duplications, the method comprising:
 acquiring, using at least a processor, a plurality of video elements from an existing video resume, wherein the existing video resume comprises at least an image component;   recognizing, using the at least a processor, subject-specific data of the existing video resume as a function of the at least an image component, wherein the subject-specific data comprises the verbal content and the non-verbal content;   recognizing, using the at least a processor, the at least a keyword of the existing video resume as a function of the subject-specific data;   recognizing, using the at least a processor, the at least a feature of the existing video resume as a function of the subject-specific data;   comparing, using the at least a processor, the subject-specific data to a target video resume; and   determining, using the at least a processor and as a function of the comparison result, a duplication coefficient for the target resume video.   
     
     
         12 . The method of  claim 11 , further comprising:
 recognizing, using the at least a processor, the at least a keyword of the existing video resume as a function of the at least an image component using optical character recognition.   
     
     
         13 . The method of  claim 11 , further comprising:
 recognizing, using the at least a processor, the at least a feature of the existing video resume as a function of the verbal content of the subject-specific data of the existing video resume.   
     
     
         14 . The method of  claim 11 , further comprising:
 recognizing, using the at least a processor, the verbal content of the existing video resume using an audiovisual speech recognition process.   
     
     
         15 . The method of  claim 11 , further comprising:
 recognizing, using the at least a processor, the verbal content and the non-verbal content as a function of the at least an image component using a machine vision process.   
     
     
         16 . The method of  claim 11 , further comprising querying, using the at least a processor, a target video feature keyword of the target video resume. 
     
     
         17 . The method of  claim 16 , further comprising querying, using the at least a processor, the at least an image component of the existing video resume as a function of the target video feature keyword. 
     
     
         18 . The method of  claim 16 , further comprising:
 classifying, using the at least a processor, the non-verbal content of the existing video resume to the target video using a non-verbal classifier.   
     
     
         19 . The method of  claim 11 , wherein comparing the subject-specific data to the target video resume comprises comparing the subject-specific data to job descriptive data using a candidate classifier. 
     
     
         20 . The method of  claim 19 , further comprising:
 ranking, using the at least a processor, two or more existing video resumes based on a relevance to the target video resume using the candidate classifier.