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@article{186885,
        author = {Sudha Shukla},
        title = {The Role of AI-driven Sentiment Analysis in Enhancing Employee Engagement},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {2986-3010},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186885},
        abstract = {Today's businesses need to keep their employees engaged in order to be productive and improve the overall health of the workplace. Annual surveys and performance reviews are examples of traditional tools that don't really capture how people are feeling in real time. The research looks at how AI-powered sentiment analysis, which uses natural language processing (NLP) and machine learning to understand unstructured data from emails, chats, surveys, and other forms of communication, changes HR practices from being reactive to proactive. AI helps targeted interventions like pulse surveys, leadership check-ins, and wellness programs work better and more quickly by finding early signs of disengagement, burnout, or dissatisfaction. Also, real-time sentiment scores help personalised engagement strategies like customised recognition, adaptive learning, and personalised coaching. This creates a culture based on trust, responsiveness, and empathy. Importantly, this study stresses the need for moral implementation that addresses issues like data privacy, openness, and algorithmic bias to build trust and acceptance among employees. The results suggest that using AI to get sentiment insights into HR processes can greatly improve the results of engagement. Organisations must put a high priority on balanced data governance and constant testing of AI tools if they want to have a lasting effect. This study adds to the changing HR paradigm by showing how ethical, real-time, and personalised AI interventions can make workers more engaged and resilient.},
        keywords = {Employee Engagement, AI-Driven Sentiment Analysis, Natural Language Processing, Real-Time Feedback, Ethical AI},
        month = {November},
        }