Hiring and Recruitment
HR department makes up the core part of every organization. They bring forth the best talent to boost productivity and drive customer satisfaction for the company‘s success. They are assigned the critical task of choosing the right candidate for the job, gauging the skill set of the employee, and training the team players for their growth.
Our fast-paced world demands us to adopt automation and robust solutions to save time and money. The same goes for our talent scout, when they are actively looking for the best fit candidate by skimming through hundreds and thousands of resumes, it takes hours for screening and shortlisting the candidates.
NLP is a blessing in disguise for talent acquisition executives. You may be wondering how and why? Well, hiring candidates is no more a tedious task now, they can use named entity recognition and information extraction methods to extract required information such as name, education, location, skillset, and past work experience. Filtering the right candidates is now the piece of cake.
Feature space takes in all the requirements for a certain role, classifies the candidates in best fit/ not fit, matches the right-fit candidates for the job, and recommends or suggests other opportunities in the organizations.
This way hiring team ensures unbiased filtering of resumes and selection of the most suitable candidate without involving manual work. Application tracking systems are effectively used across many organizations for evaluating Cvs.