Need of NLP in Recruiting

In this post let's see why we need of NLP in recruiting.


    Many companies recruit thousands of applicants and select perfect employees who satisfy their requirements. But to dig in and filter out the right candidate from a bunch of even fifty candidates is not an easy task. 

    The company has to appoint hiring managers who have to spend several hours in screening the resumes, assessing the test results and then finally interviewing the candidates. Many times companies don't even select a candidate due to their lack of skills and lose their time and money. This nothing but declines the productivity of the company and also affects the growth rate. 

    Here, the NLP (Natural Language Processing) technology not only saves time but also makes the recruiting process simpler and advanced. NLP helps to remove the biasing of the candidates and creates diversity in them.


What changes does use of NLP in recruiting makes?

  • NLP allows for easy, automated resume screening and processing that reduces hiring timelines and saves hours spent on manual testing. 

  • Automated pre-qualification with the help of chatbots allows for better candidate experience by providing immediate, constant and consistent real-time solutions, feedback and comments. 

  • AI and NLP-enhanced automated interviews improve the candidate's fit in the company by analyzing their words, speech patterns, and facial expressions, and help detect minor details one might have otherwise missed. 




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