Name: Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (en Inglés)
Price: 386223.00 COP
Availability: InStock
Author: Cambria, Erik ; Hussain, Amir
ISBN: 9783319236537

portada Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (en Inglés)

Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (en Inglés)

Formato

Libro Físico

Autor

Erik Cambria

Amir Hussain

Editorial

Springer

Idioma

Inglés

N° páginas

176

Encuadernación

Tapa Dura

Dimensiones

24.2 x 15.5 x 1.7 cm

Peso

0.53 kg.

ISBN13

9783319236537

Categorías

Semántica, análisis del discurso, etc.
Neurología y neurofisiología clínicas
Neurociencias
Minería de datos («data mining»)

Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (en Inglés)

Erik Cambria (Autor) · Amir Hussain (Autor) · Springer · Tapa Dura

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Reseña del libro "Sentic Computing: A Common-Sense-Based Framework for Concept-Level Sentiment Analysis (en Inglés)"

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 clausesThis 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.