Enhancing Employee Productivity through Sentiment Analysis: A Focus on Workplace Well-being and Satisfaction

Abstract

This research paper thoroughly examines the critical relationship between employee satisfaction, well-being, and productivity, with a primary emphasis on the utilization of sentiment analysis techniques to assess employee satisfaction within the workplace. To assist employers in creating a supportive work environment, this study develops a model that incorporates modified average word vector models to effectively classify employee feedback as positive, negative, or neutral, providing actionable insights for areas of improvement. The model proposed in this research paper serves as a valuable instrument for organizations striving to understand employee sentiment and identify potential concerns. Through comprehensive research and meticulous analysis, this study underscores the crucial importance of prioritizing employee well-being in the workplace. It highlights the role of advanced sentiment analysis techniques in capturing and comprehending the sentiments expressed by employees. By harnessing the power of technology, organizations can gain deep insights into the factors influencing employee satisfaction and take appropriate actions to address them. The research findings reveal a strong correlation between employee well-being, job satisfaction, and productivity. By diligently monitoring employee well-being and proactively addressing their concerns, organizations can cultivate a positive work culture that promotes job satisfaction, leading to improved performance and overall organizational success. It showcases the potential of sentiment analysis as a valuable tool for assessing employee satisfaction and guiding decision-making processes. By fostering a work environment that focuses on employee well-being, organizations can create a nurturing atmosphere that enhances job satisfaction, boosts productivity, and ultimately benefits both employees and the organization as a whole.