Sentic Computing
A Common-Sense-Based Framework for Concept-Level Sentiment Analysis
Seiten
2019
Springer International Publishing (Verlag)
978-3-319-79516-4 (ISBN)
Springer International Publishing (Verlag)
978-3-319-79516-4 (ISBN)
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.
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.
Introduction.- SenticNet.- Sentic Patterns.- Sentic Applications.- Conclusion.- Index.
| Erscheinungsdatum | 19.12.2018 |
|---|---|
| Reihe/Serie | Socio-Affective Computing |
| Zusatzinfo | XXII, 176 p. 54 illus., 40 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 314 g |
| Themenwelt | Medizin / Pharmazie ► Studium |
| Naturwissenschaften ► Biologie ► Humanbiologie | |
| Schlagworte | Common-sense reasoning • concept-level analysis • linguistic patterns • sentic computing • sentiment analysis |
| ISBN-10 | 3-319-79516-3 / 3319795163 |
| ISBN-13 | 978-3-319-79516-4 / 9783319795164 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
| Haben Sie eine Frage zum Produkt? |
Mehr entdecken
aus dem Bereich
aus dem Bereich
die Geschichte der Menschheit in 15 Porträts
Buch | Hardcover (2025)
DVA (Verlag)
CHF 39,20
produktiv sein ohne Stress – und mehr vom Leben haben
Buch | Softcover (2023)
dtv Verlagsgesellschaft
CHF 25,20
Veränderungen gehirngerecht gestalten
Buch | Softcover (2024)
Haufe (Verlag)
CHF 76,95
