{"product_id":"cambria-erik-sentic-computing-9783319795164","title":"Sentic Computing","description":"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\n\u003cbr\u003e\nThis 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.","brand":"Springer","offers":[{"title":"Default Title","offer_id":54705650532694,"sku":null,"price":0.0,"currency_code":"EUR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0925\/5829\/5382\/files\/product_image_9783319795164_1.jpg?v=1791168334","url":"https:\/\/www.momoxbooks.com\/products\/cambria-erik-sentic-computing-9783319795164","provider":"momox","version":"1.0","type":"link"}