Sentiment-Driven Scheduling Optimizer
DOI:
https://doi.org/10.63282/3050-922X.IJERET-V1I2P107Keywords:
Sentiment Analysis, Workforce Management, Scheduling Optimization, Employee Morale Forecasting, Burnout Prevention, AI in HR, Natural Language Processing (NLP), BERT-based Models, Real-Time Sentiment Detection, Employee Engagement Analytics, Smart Scheduling Systems, Shift Sensitivity Modeling, Morale Forecasting Techniques, Burnout Risk Alerts, Mood Dashboards, Workforce Productivity Enhancement, Absenteeism Reduction, Employee Retention Strategies, Emotion-Aware Scheduling, HR Technology InnovationsAbstract
Rising problems in many other different fields, employee fatigue & also declining productivity are mostly caused by rigid scheduling practices that ignore the emotional wellness of the employees. By incorporating actual time sentiment analysis into employment management systems, the Sentiment-Driven Scheduling Optimizer offers a unique solution. Our system monitors communication patterns, feedback & also behavioral indications to assess stress, satisfaction & overall morale, thereby evaluating the emotional condition of workers instead of relying only on their static measures such as hours worked or task completion rates. Fundamentally, it is a dynamic scheduling engine that responds in actual time, reallocating work, optimizing workloads & changing shift patterns depending on their emotional input to promote well-being without sacrificing their production. We investigated the use of sentiment data-trained ML models coupled with more operational performance indicators in diverse organizational environments. We established a powerful feedback system connecting employee emotional state with scheduling outcomes by means of NLP & also psychological assessment techniques. Comparatively to traditional scheduling methods, sentiment-responsive scheduling showed significant effects lowering burnout rates by 28% & improving work efficiency by 18%. These results emphasize the more crucial requirement of emotional intelligence in future projects of the workforce. By integrating empathy into operational planning & also encouraging better and more resilient workplaces that match human needs with business goals, the Sentiment-Driven Scheduling Optimizer has the power to change industry norms
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