AI-Driven Sentiment Analysis for Employee Engagement and Retention

Authors

  • Nischal Ravichandran Senior Identity Access Management Engineer Author
  • Anil Chowdary Inaganti Workday Techno Functional Lead Author
  • Rajendra Muppalaneni Lead Software Developer Author

Keywords:

AI-driven sentiment analysis, employee engagement, retention strategies, Natural Language

Abstract

In today’s competitive business environment, fostering employee engagement and improving retention are pivotal to organizational success. Traditional methods like surveys and performance reviews offer limited insights, often failing to capture the full emotional landscape of the workforce. This article highlights the transformative potential of AI-driven sentiment analysis, leveraging Natural Language Processing (NLP) to analyze vast, unstructured data sources such as emails, surveys, and instant messaging. By providing real-time, actionable insights into employee emotions and sentiment, AI-driven sentiment analysis enables businesses to proactively address issues, optimize engagement strategies, and reduce turnover. As AI technologies evolve, they empower organizations to understand employee motivations in-depth, anticipate challenges, and personalize retention strategies to enhance workplace satisfaction and loyalty.

Published

2023-01-23

How to Cite

[1]
Nischal Ravichandran, Anil Chowdary Inaganti, and Rajendra Muppalaneni, “AI-Driven Sentiment Analysis for Employee Engagement and Retention ”, Journal of Computing Innovations and Applications, vol. 1, no. 01, pp. 1–9, Jan. 2023, Accessed: Aug. 24, 2025. [Online]. Available: https://ciajournal.com/index.php/jcia/article/view/6