A broad overview of natural language processing in affective computing is given by this title. Its goal is to familiarize the reader with current approaches in affective computing as well as the most relevant concepts related to this field (affect, sentiment, subjectivity and others). 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.
ISBN: | 9783319006017 |
Publication date: | 11th August 2024 |
Author: | Alexandra Balahur-Dobrescu, Maite Taboada, Björn W. Schuller |
Publisher: | Springer International Publishing AG |
Format: | Hardback |
Pagination: | 250 pages |
Series: | Computational Social Sciences |
Genres: |
Computational and corpus linguistics Natural language and machine translation Artificial intelligence Applied computing Communications engineering / telecommunications Combinatorics and graph theory |