Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis

This volume delves into the innovative realm of sentiment analysis through the lens of common-sense knowledge. It introduces a framework that emphasizes understanding emotions at a conceptual level, moving beyond traditional word-centric methods. By integrating knowledge representation techniques with sentiment analysis, it aims to enhance the accuracy and effectiveness of understanding human emotions in various contexts.

Erik Cambria and Amir Hussain guide readers through the intricacies of this approach, offering insights that bridge cognitive reasoning and computational techniques. This work serves as a valuable resource for researchers and practitioners looking to explore new dimensions in artificial intelligence and natural language processing.