A Study in Analysing the Factors Influencing Job Satisfaction through Supervised Machine Learning Methods

A person's feelings and attitudes in regard to their work are referred to as their "job satisfaction," and the word "job satisfaction" is used to characterise such feelings and attitudes. The word "work contentment," which is also sometimes referred to as "work satisfaction," is a concept that is used to describe the individual's subjective experience in connection to their employment. It comprises the entire amount of pleasure, enjoyment, and happiness that people obtain from their job activities, in addition to the degree to which their expectations and requirements are satisfied in their place of employment. The idea of being satisfied in one's job, also known as "work contentment," is sometimes used interchangeably with job satisfaction, which is typically characterised by the existence of positive and favourable views towards one's professional function. The emergence of negative and unfavourable sentiments towards one's work function is one of the defining characteristics of job unhappiness. It has been noticed that the introduction of organisational incentive systems has a substantial impact on the improvement of employees' overall levels of pleasure. These systems are devised with the main goal of bolstering extrinsic motivation by covertly attending to the requirements of people via the provision of remuneration and incentives. When it comes to aiding the acquisition and retention of skilled employees inside organisations, human resource management (HRM) plays a significant role. This is especially true in the context of the expanding worldwide business operations and the increasing expansion of firms into international markets. Over a considerable amount of time, businesses and organisations have been confronted with the enduring difficulty of trying to find employees who meet the necessary criteria in terms of credentials and abilities in order to fulfil critical roles and participate in necessary training. Utilising an improved neural network approach, the major objective of this research is to develop a computerised system that is capable of accurately determining the level of pleasure that individual derives from their employment. It is important to transform textual data into numeric data by making use of a variety of preprocessing methods in order to make computational operations more efficient. This may be done in order to assist efficient computational operations. Machine learning, or ML, is a notable branch of artificial intelligence (AI) that focuses on the creation of algorithms and models that allow computer systems to do tasks such as prediction without the need for explicit programming or configuration that is specialised to each individual job. Examples of such activities include weather forecasting and stock market analysis. Machine learning, often known as ML, has been put to substantial use in a wide variety of fields, including medical diagnosis, speech recognition, image processing, and a great many commercial applications. The fast development of electronic data, which has provided a fertile field for the application of machine learning, may be credited with contributing to the broad use of ML