Emotion Detection from Text in Learning Environments: A Review

Abstract

Knowing student emotions allows teachers to efficiently adapt or redirect educational resources, activities, learning environments, and learning procedures within a particular educational community, where age, learning styles, and skills are already challenging factors. This book chapter introduces a literature review of text-based emotion detection in learning environments. We analyze the main APIs and tools available today for emotion detection and discuss their key characteristics. Also, we introduce a case study to detect the positive and negative polarity of two educational resources to identify the accuracy of the results obtained from five selected APIs. Finally, we discuss our conclusions and suggestions for future work.