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Natural Language Processing in HRM

Here are four examples of how natural language processing can be used in HRM. Flip the cards to see the applications

NLP can automate the process of screening resumes by extracting key information such as skills, experience, and education. It can match these attributes with the job requirements to rank and shortlist candidates.

NLP tools can analyse employee feedback from surveys, social media, performance reviews, and other communication channels and identify sentiments, such as satisfaction or dissatisfaction

NLP-driven chatbots can provide instant responses to employee queries about HR policies, benefits, leave balances, and other administrative details, offering employees 24/7 support.

NLP can analyse comments in performance reviews to identify common themes, strengths, and areas for improvement. This can provide more personalised feedback to employees

Some applications use a combination of different technologies to provide an optimum solution.

Can you think of HRM applications in your own workplace for Natural Language Processing?

Record your thoughts in your learning diary before you move on….

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