Sentic computing offers a novel approach to understanding and processing human emotions in text. This book explores the foundational principles and applications of sentic computing, a field that bridges affective computing and natural language processing. It details how computational models can be developed to represent and reason about emotions, moving beyond simple sentiment analysis to capture the nuanced spectrum of human feelings expressed in language. The work aims to provide a comprehensive overview for researchers and practitioners interested in the computational understanding of emotions.

The book is positioned as a concise introduction to the field of sentic computing, likely appealing to academics and researchers in artificial intelligence and cognitive science. Its inclusion in the SpringerBriefs series suggests a focus on delivering core concepts and recent advancements efficiently. The subject matter points to a technical text that synthesizes existing research and outlines potential avenues for future exploration in computational emotion understanding.