The Human Resource department is an integral part of every company. They have the most important job of selecting the right employees for a company. But, today, in this highly competitive world, recruiters need to review hundreds or sometimes thousands of resumes for a single position. It might take hours for filtering resumes and shortlisting the candidates. Can this task be automated?
Yes! With the help of natural language processing, recruiters can find the right candidate with much ease. This simply means that the recruiter would not have to go through every resume and filter the right candidates manually. The technique, like information extraction with named entity recognition, can be used to extract information such as skills, name, location, and education. Then, these features can be used to represent the candidates in the feature space, and then they can be classified into the categories of fit or not-fit for a particular role. Or, they can also be recommended a different role based on their resume.