Book Name: Sentic Computing
Author: Amir Hussain, Erik Cambria
File size: 4.26 MB
File format: PDF
Sentic Computing Pdf Book Description:
This volume introduces a knowledge-based approach to concept-level opinion investigation in the crossroads between affective computing, data extraction, and common-sense calculating, which divides both social and computer sciences to better interpret and process data on the internet.
Concept-level opinion investigation goes beyond a mere word-level evaluation of text so as to allow a more efficient passing from (unstructured) textual information to (structured) machine-processable information, in possibly any domain name.
Readers will find the next crucial novelties, that make this strategy therefore unique and avant-garde, being discussed and reviewed:
Sentic Computing’s multi-disciplinary strategy to belief analysis-evidenced from the concomitant use of AI, linguistics and psychology for knowledge representation and inference. Sentic Computing’s change from syntax into semantics-enabled from the adoption of this bag-of-concepts model rather than simply counting phrase co-occurrence frequencies in text. Sentic Computing’s change from data to linguistics-implemented by enabling sentiments to stream from concept to concept based on the dependence relation between exemptions.
This quantity is the first from the Series Socio-Affective Computing analyzed by Dr Amir Hussain and Dr Erik Cambria and is of interest to investigators from the fields of intelligent, affective and multimodal human-machine interaction and methods.
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