Sentic Computing

TRAMA

This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed:•    Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference•    Sentic Computing’s shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text•    Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clausesThis volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction and systems.

SOMMARIO

1. Introduction 1.1 Opinion Mining and Sentiment Analysis 1.2 Towards Machines with Common-Sense1.3 Sentic Computing  2. SenticNet 2.1 Knowledge Collection2.2 Knowledge Representation 2.3 Knowledge-Based Reasoning  3. Sentic Patterns 3.1 Semantic Parsing 3.2 Linguistic Rules 3.3 ELM Classifier  4. Sentic Applications 4.1 Development of Social Web Systems4.2 Development of HCI Systems 4.3 Development of E-Health Systems 5. Conclusion 5.1 Summary of Contributions 5.2 Limitations and Future Work

ALTRE INFORMAZIONI

• Condizione: Nuovo
• ISBN: 9783319795164
• Collana: Socio-Affective Computing
• Dimensioni: 235 x 155 mm Ø 454 gr
• Formato: Brossura
• Illustration Notes: XXII, 176 p. 54 illus., 40 illus. in color.
• Pagine Arabe: 176
• Pagine Romane: xxii