Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing #1)
by Erik Cambria and Amir Hussain
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Fulfillment optionsSentic Computing
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.
Details
- Publisher
- Springer International Publishing
- Authors
- Erik Cambria, Amir Hussain
- Format
- Paperback
- Published
- Mar 21, 2019
- ISBN-13
- 9783319795164
- Pages
- 176
- Printing
- Printed on demand
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|---|---|---|
| 25 – 49 | $96.79 | 12% off list |
| 50 – 99 | $95.69 | 13% off list |
| 100+ | $94.59 | 14% off list |
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Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (Socio-Affective Computing #1)
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