Sentic Computing: A Common-sense-based Framework for Concept-level Sentiment Analysis

Cambria, Erik/ Hussain, Amir

ISBN 10: 3319236539 / ISBN 13: 9783319236537

Verlag: Springer Verlag, 2015

Beschreibung

300 pages. 9.25x6.25x0.50 inches. In Stock.

Bestandsnummer des Verkäufers x-3319236539

Bibliografische Details

• Titel: Sentic Computing: A Common-sense-based Framework for Concept-level Sentiment Analysis
• Verlag: Springer Verlag
• Erscheinungsjahr: 2015
• Sprache: Englisch
• ISBN-10: 3319236539
• ISBN-13: 9783319236537
• Einband: Hardcover
• Zustand: Brand New
• Gewicht: 0,42 Kilogramm

Über diesen Titel

Inhaltsangabe

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 andsystems.