Emotion is a psychological mechanism that occurs inside humans. Emotions originate through a complex process involving sensory systems, interpretation, and summarization that is linked to knowledge and experiences that are different for each person. The emergence of emotions results in different responses that are sometimes unexplainable. It is an important factor that indicates the difference between humans and machines and is an important factor that affects or motivates humans to act, not act, or cancel an action. Currently, most research related to artificial intelligence focuses on the use of techniques such as Machine Learning, Neural Network, Deep Learning, etc., to enable machines to learn data in various forms, especially the research on Large Language Models, which are currently very popular, focuses on enabling machines to produce results, find answers, assist with work, or respond to human needs in a variety of ways, including searching for information, negotiating, editing images, drawing, editing videos, composing music, creating content, etc. Most of the existing studies focused on the application of machines to assist humans in a machine-like manner rather than making machines human-like. There are very few studies that are likely to lead to machines being more human-like, such as analyzing human emotions from facial expressions and sentiment analysis from texts or documents. Although many studies have been conducted for a long time, the results are still far from making machines human-like. The reason for this may be because this type of research is related to analyzing human emotions and feelings, which are complex and involve many variables and factors. There are many related theories, both psychological and social theories. Therefore, understanding these theories, related technology, and data processing techniques will help researchers plan and design their research on the Artificial Emotion to achieve the goal of developing machines to be more human-like.