In this paper, factors are analyzed for employee attrition to find the main reasons why employees choose to resign and suggested how Artificial Intelligence can be developed to understand and predict future attrition reasons by using thematic and sentiment analysis. The prime objective of study is why people leave the organization and how it can be predicated in advance by using NLP (Natural language processing) AI. Different weights are given for different factors for attrition reasons based on the study conducted for one of the auto-component manufacturing company in Chakan MIDC, Pune, India, high weight factors will be alarming signals for the organizations to be proactive to correct or rectify so that they can avoid attrition. Study can help which valuable employees will leave organization for different reasons in advance. The investigation was done to determine what element had the biggest impact on employee attrition. With the help of the paper, new work policies can be created that benefit both the business organisation and the employee. It might be viewed as a reflection of the employees' working environments.
As a time-saver and matchmaker, artificial intelligence can play a growing role in hiring and selecting. Automation can be used intelligently to increase workplace humanity. It enables you to take exclusively human abilities forward while putting technology in the background. Most people who work in HR do so because they want to interact with people and assist them in finding solutions to their challenges. Where appropriate use of automation can provide them more time to pursue their task and result in careers that are more satisfying. Artificial intelligence (AI) can be used to create job descriptions, promote and share jobs, automate applicant searches, and scan cover letters and resumes. This research paper focuses on how AI can be used in selected areas of HR to improve the human resources management with some leading business entities examples regarding their use cases in AI (Artificial Intelligence) and user sentiment analysis for using We360.ai application.
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