EmoNeuro TextAnalyzer: A Novel Computational Emotion Model

The EmoNeuro TextAnalyzer model is one that we have put forward in this research study. This interpretive model is designed to make it easier to create intricate emotion state models based on text. In order to shed light on the dominant emotions of both people and entire digital communities, the suggested model may extract important elements from the data, even when they are subtle or complicated, from digital discussions. We have offered a clear and simple framework that can be applied to the sentiment analysis area by using the analogy of the neuro-transmitters and hormones interaction model. The EmoNeuro TextAnalyzer is a novel tool for exploring the complexities of human emotions modeling in digital sociology and computational mathematics. It does this by combining structural equation modeling (SEM) with machine/deep learning approaches in a synergistic manner.