Leveraging Natural Language Processing to Analyze Employee Feedback for Enhanced HR Insights

This paper explores the application of Natural Language Processing (NLP) in analyzing employee feedback to derive actionable insights for Human Resources (HR) management. By employing NLP techniques such as sentiment analysis, topic modeling, and keyword extraction, organizations can better understand employee sentiments, identify areas for improvement, and foster a more engaged workforce. This study highlights the methodologies used, presents findings from a case study, and discusses the implications for HR practices. Keywords Natural Language Processing, Employee Feedback, Sentiment Analysis, Topic Modeling, Human Resources, HR Insights, Workforce Engagement, Data-Driven Decision Making.