Computational Methods for Affect Detection from Natural Language: Computational Social Sciences
Autor Alexandra Balahur-Dobrescu, Maite Taboada, Björn W. Schulleren Limba Engleză Hardback – 11 aug 2024
Din seria Computational Social Sciences
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Specificații
ISBN-13: 9783319006017
ISBN-10: 3319006010
Pagini: 250
Ilustrații: 250 p.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2024
Editura: Springer International Publishing
Colecția Springer
Seria Computational Social Sciences
Locul publicării:Cham, Switzerland
ISBN-10: 3319006010
Pagini: 250
Ilustrații: 250 p.
Dimensiuni: 155 x 235 mm
Ediția:1st ed. 2024
Editura: Springer International Publishing
Colecția Springer
Seria Computational Social Sciences
Locul publicării:Cham, Switzerland
Public țintă
ResearchCuprins
Affect Computation from Text – Main Concepts and Tasks.- Subjectivity Analysis in Natural Language.- Sentiment Analysis.- Emotion Detection from Text.- Dealing with Multilinguality in Affect Computation from Text.- Applications of Affect Computation – Opinion Trend and Social Media Analysis.- Current Challenges and Envisaged Developments in Affect Computation from Text.
Textul de pe ultima copertă
Research in human affect has a long established tradition in social sciences - Philosophy, Psychology, Socio-psychology, Cognitive Science, Pragmatics, Marketing, Communication. The study of affect from a computational point of view is a recent field in Artificial Intelligence, denominated “Affective Computing”. Despite the novelty of the subject, the volume and importance of research in automatic human affect recognition, classification and simulation has been constantly growing in the past decades, leading to the development of further sub-areas of research. One of these directions deals with the study of automatic affect treatment from text, in the Artificial Intelligence area of Natural Language Processing. In this context, different tasks have been developed, from emotion detection, subjectivity analysis, opinion mining to sentiment analysis and appraisal analysis. The aim of the present book is to give a theoretical and practical overview of the most important topics of researchdealing with the computational treatment of affect from text. Its goal is to present the reader with the most relevant concepts related to this field (affect, sentiment, subjectivity and others), the existing research areas and familiarize them with the present approaches, with theoretical explanations and practical examples.
Caracteristici
Offers a broad overview of natural language processing in affective computing Familiarizes readers with current approaches in affective computing with explanations of theory as well as practical examples Introduces and defines the concepts employed in the computational treatment of affect from text, from an inter-disciplinary, unified perspective A timely topic for the age of social media