TY  - BOOK
AU  - Cambria,Erik
AU  - Hussain,Amir
ED  - SpringerLink (Online service)
TI  - Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis 
T2  - Socio-Affective Computing
SN  - 9783319236544
AV  - RC321-580 
U1  - 612.8 23
PY  - 2015///
CY  - Cham
PB  - Springer International Publishing, Imprint: Springer
KW  - medicine
KW  - Neurosciences
KW  - Data mining
KW  - Semantics
KW  - Cognitive psychology
KW  - Biomedicine
KW  - Data Mining and Knowledge Discovery
KW  - Cognitive Psychology
N1  - Introduction -- SenticNet -- Sentic Patterns -- Sentic Applications -- Conclusion -- Index
N2  - 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 clauses This 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
UR  - http://dx.doi.org/10.1007/978-3-319-23654-4
ER  -