Applying Artificial Intelligence for Emotion Detection from Text Messages

Human interactions are usually fostered by emotions. There are numerous techniques to identify these emotions, such as through speech, body language, and facial expressions. To determine the emotions included in the text, text-based emotion detection is required. This paper develops Convolutional Neural Network (CNN) based emotion recognition in text. The objective of this paper is to evaluate the text and categories the many feelings it expresses including joy, fury, grief, surprise, love, and terror. The accuracy achieved with this method was 93.13%.