Human Resource Processes Using Natural Language Processing (NLP)


Human Resource Processes Using Natural Language Processing (NLP)

Artificial Intelligence (AI) is well on its way to transforming the world as we know it. NPL or Natural Language Processing (NPL) is the AI feature that has made life very easy for us. That is what ‘Siri’ and ‘Alexa’ use to process our requests. This feature helps interpret human language into algorithms. NPL is taking over all the major organizational processes too. However, human resources have been the slowest to make use of this. Let us discover how NPL can make human resource processes more efficient and less time-consuming.

3 Ways Natural Language Processing (NLP) Will Transform HR in 2019
Human Resource Processes Using Natural Language Processing (NLP)

How NPL can Transform HR

HR is an indispensable part of an organization. It is charged with probably the essential function of recruiting, mobilizing, and monitoring the workforce for the organization. However, these processes are time-consuming, tedious, and very susceptible to human bias. Using NPL in HR can change the process entirely.

  • NPL in Recruitment

Recruitment means inviting resumes and scanning and scrutinizing them to find the best candidate for the job. It is a very long drawn out process, since going through so many applications is a tremendous job for human capacity. Also, it may often be subject to human bias, and the result may suffer. NPL makes it easier by doing not only a keyword-focused search but also several in-depth data analytics. This process can likely give you better candidates who would otherwise miss out.

  • NPL in Retention

Ensuring employee engagement and retention is another critical function of HR. To this end, time to time feedbacks is taken from employees to understand their level of commitment, job satisfaction, and grievances, if any. However, sieving through these may again be a challenge. NPL can transform HR for the better and make it more time and cost-efficient, eliminating chances of human bias and error.

NPL can examine specific keywords and group and quantify the feedbacks and make the overall job more manageable.

  • NPL Social Media Analytics

Analyzing the various social media handles can get valuable information; expose behavior patterns, loyalty, and other useful insights. NPL can do this and uncover employee talents and put it to use.

Human Resource Processes Using Natural Language Processing (NLP)
Human Resource Processes Using Natural Language Processing (NLP)

Future Of HR

With the proper use of NPL, HR can become more efficient and beneficial to the overall performance of the organization. Despite best efforts, the scope of human error remains in the case of human-led recruitment processes. NPL can use quantifiable questionnaires and data to compare and contrast the performance of candidates. That will make shortlisting easy but also more even.

Making the process speedy will ensure better performance in the case of the candidates who will not waste energy in waiting. Also, the use of AI will make sure the process has parity, and the questions across the board will be the same or closely similar. Again, there will be no case of human error and human bias.

Every other organizational process has been touched and transformed by AI, and it is time the HR function caught up to it. Getting the best possible candidate will overall ensure better business and high returns. Also, this will spare significant HR resources and efforts for redirection towards other useful areas.

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