This quantity offers a knowledge-based method of concept-level sentiment research on the crossroads among affective computing, info extraction, and commonsense computing, which exploits either computing device and social sciences to higher interpret and technique info on the internet.
Concept-level sentiment research is going past a trifling word-level research of textual content with a purpose to let a extra effective passage from (unstructured) textual info to (structured) machine-processable information, in almost certainly any domain.
Readers will become aware of the subsequent key novelties, that make this technique so special and avant-garde, being reviewed and discussed:
• Sentic Computing's multi-disciplinary method of sentiment analysis-evidenced by way of the concomitant use of AI, linguistics and psychology for wisdom illustration and inference
• Sentic Computing’s shift from syntax to semantics-enabled by means of the adoption of the bag-of-concepts version rather than easily counting be aware co-occurrence frequencies in text
• Sentic Computing's shift from facts to linguistics-implemented by means of permitting sentiments to movement from thought to idea according to the dependency relation among clauses
This quantity is the 1st within the sequence Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and may be of curiosity to researchers within the fields of socially clever, affective and multimodal human-machine interplay and structures.
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