This book offers a broad overview of natural language processing in affective computing. It presents a theoretical and practical overview of key research topics dealing with the computational treatment of affect from text.

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.

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

Klappentext
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.

Inhalt
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.