The Impact of Emotional Intelligence of Employees at Work Place Using Machine Learning Techniques

Abstract

The capacity to integrate cognitive thinking skills with affective skills, often known as intelligence and emotion, is known as emotional intelligence, or EI. The term "emotional intelligence" (EI) refers to the ability to recognise, manage, and evaluate emotions. According to the researchers, either emotional intelligence is a trait that humans are born with or it can be developed through learning to strengthen one's weaknesses. The condition of emotional intelligence has an impact on how the brain develops. It affects a person's behaviour and speech. It has an impact on a person's way of thinking and relationships with others. Various testing methods have been developed to quantify passionate knowledge, yet each test's content and methodology differ. If a specialist has strong emotional intelligence, they should be able to understand the emotions of individuals they deal with and convey their sentiments in a way that is effective, improving relationships at work and performance. A worker with high emotional intelligence is more likely to be able to communicate their emotions constructively and understand the emotions of others they work with, which will improve their working relationships and performance. With the rise of Machine Learning techniques in this paper, various machine learning algorithms like Naive Bayes, SVM, Random Forest, KNN, Neural Network and CNN were utilized for the forecast of Emotional Intelligence dependent on conduct credits. The outcomes that resulted with the general precision was 0.99%. The dataset used for prediction had 10 behavioural attributes and 6 more individual attributes.