Published Paper Details:

Companies are placing a growing emphasis on enhancing employee satisfaction by allocating more financial resources towards this goal. The importance of job satisfaction is increasingly recognized worldwide. Prioritizing success is crucial, and the IT industry is renowned for its innovative approaches in integrating HR strategies to enhance employee satisfaction. The intricate interaction between demographic characteristics, views about job insecurity, and work environment elements is the central focus of this paper's examination of sentiment dynamics in the Indian IT industry. This study reveals the intricate connections that influence employees' experiences by utilizing deep learning techniques and statistical analytics. Tests and an industry-wide ANOVA have provided substantial evidence supporting the significance of age, gender, experience, and qualifications in relation to job insecurity. Sentiment analysis enhances the quantitative findings by incorporating an affective component. This study examines the impact of affective components on perceptions of leadership, opportunities for learning, and incentives in the workplace. By taking a two-pronged approach, people can learn more about how various demographics interact with these important workplace factors. This study utilizes advanced statistical methods and sentiment analysis techniques to explore the complex connections between demographic factors, workplace dynamics, and attitudes towards job insecurity. The results show that people's views of their own job security are greatly affected by a number of characteristics, such as their gender, age, experience, and education level. Results from ANOVA and robust testing corroborate this finding.