| Abstract |
Artificial Intelligence (AI) is an unbiased technique to read the minds of employees and
identify factors influencing job satisfaction. Traditional employee surveys though valuable, often
suffered from certain limitations like low response rates, biases and time consuming analysis.
Addressing key areas like work culture, social belongingness, rewards, recognition, growth, training
and development with an empathetic and proactive approach can help us study employee sentiments
and give a deeper insight for an unbiased real time predictive analytics. The collected data can
empower organizations to make such decisions and formulation of innovative strategies related to
employees’ real needs and experiences. This paper proposes a novel approach towards the use of
AI driven tools and techniques like advanced NLP models and machine learning algorithms to
analyse unstructured data and extract sentiments from a large set of employee communications in
social platforms, survey data on work/life balance, job culture, management, and official data
about retention and salary of a large organization presented as a case study to highlight the
benefits and practical implications of our approach. Overall, this paper aims to demonstrate the
potential of AI in the field of employee engagement providing valuable insights for HR professionals,
organizational leaders and researchers in employee experience management. |
