Emotional Lexicons

Emotions are as old as humankind. But what do we know about them and what importance do we assign to them? Emotional Lexicons is the first cultural history of terms of emotion found in German, French, and English language encyclopaedias since the late seventeenth century. Insofar as these reference works formulated normative concepts, they documented shifts in the way the educated middle classes were taught to conceptualise emotion by a literary medium targeted specifically to them. As well as providing a record of changing language use (and the surrounding debates), many encyclopaedia articles went further than simply providing basic knowledge; they also presented a moral vision to their readers and guidelines for behaviour. Implicitly or explicitly, they participated in fundamental discussions on human nature: Are emotions in the mind or in the body? Can we "read" another person's feelings in their face? Do animals have feelings? Are men less emotional than women? Are there differences between the emotions of children and adults? Can emotions be "civilised"? Can they make us sick? Do groups feel together? Do our emotions connect us with others or create distance? The answers to these questions are historically contingent, showing that emotional knowledge was and still is closely linked to the social, cultural, and political structures of modern societies. Emotional Lexicons analyses European discourses in science, as well as in broader society, about affects, passions, sentiments, and emotions. It does not presume to refine our understanding of what emotions actually are, but rather to present the spectrum of knowledge about emotion embodied in concepts whose meanings shift through time, in order to enrich our own concept of emotion and to lend nuances to the interdisciplinary conversation about them.

ICNC-FSKD is a premier international forum for scientists and researchers to present the state of the art of data mining and intelligent methods inspired from nature, particularly biological, linguistic, and physical systems, with applications to computers, circuits, systems, control, communications, and more. This is an exciting and emerging interdisciplinary area in which a wide range of theory and methodologies are being investigated and developed to tackle complex and challenging problems.

This volume details a wide range of consumer research methods from different disciplines with an application to food and beverages. Each chapter is written by well-known researchers in the field that guides the reader on a specific method in applied consumer research. Chapters are separated by disciplines, detail brief theoretical background, provide a clear examples of the methodology, anthropology, history, linguistics, and visual arts, culinary arts, design, and user experience are also approached. The separation of methods through disciplines gives a better structure to the reader when trying to apply each method. Authoritative and cutting-edge, Consumer Research Methods in Food Science detail clear steps and a framework to reproduce consumer research methods in different applications.

Tracing the history of the concepts of civility and civilisation, 'Civilizing Emotions' chooses a global perspective and highlights the role of civility and civilisation in the creation of a new and hierarchised global order in the era of high imperialism and its entanglements, focusing on the developments in a number of well-chosen European and Asian countries. Emotions were at the core of the practices linked to the political project of the civilising process. 'Civilizing Emotions' brings out the role of emotions as an object of the civilising process.

With this pioneering project, Margrit Pernau brings the ‘history of emotions’ approach to South Asian studies. A theoretically sophisticated and erudite investigation, Emotions and Modernity in Colonial India maps the history of emotions in India between the uprising of 1857 and World War I. Situating the prevalent experiences, interpretations, and practices of emotions of the time within the context of the major political events of colonial India, Pernau goes beyond the dominant narrative of colonial modernity and its fixation with discipline and restrain, and traces the contemporary transformation from a balance in emotions to the resurgence of fervor. The current volume is based on a large archive of sources in Urdu, many being explored for the first time. Pernau grounds her work on such diverse sources as philosophical and theological treatises on questions of morality, advice literature, journals and newspapers, nostalgic descriptions of courtly culture, and even children’s literature. This close look into individual experiences, practices, and interpretations reveals the myriad emotions of the day, and the importance of these micro-histories in presenting an alternative account of colonial India.

The Language of Emotions: The case of Dalabon (Australia) is the first extensive study of the linguistic encoding of emotions in an Australian language, and further, in an endangered, non-European language. Based on first-hand data collected using innovative methods, the monograph describes and analyzes how Dalabon speakers express emotions (using interjections, prosody, evaluative morphology) and the words they use to describe and discuss emotions. Like many languages, Dalabon makes broad use of body-part words in descriptions of emotions. The volume analyzes the figurative functions of these body-part words, as well as their non-figurative functions. Correlations between linguistic features and cultural patterns are systematically questioned. Beyond Australianists and linguists working on emotions, the book will be of interest to anthropological linguists, cognitive linguists, or linguists working on discourse and communication for instance. It is accessible also to non-linguists with an interest in language, in particular anthropologists and psychologists.

Emotion Measurement, Second Edition highlights key elements of emotions that should be considered in the measurement of emotions in both academic and commercial environments. This edition begins with an updated review of basic studies of emotion, including the theory, physiology, and psychology of emotions, as these are the foundational studies which food scientists as well as product developers and marketing professionals need to be aware of. The second section highlights methods for studying emotions, and reviews the different approaches to emotion measurement: questionnaire self-report, behavioral, and physiological. This section explores the merits of intrinsic versus extrinsic measures of emotion. Some new measurement approaches have emerged since the first edition of this book. The book then presents practical applications, with chapters on emotion research in food and beverage, as well as in a range of products and clinical settings. The experience in testing product emotions has increased since the first edition when product emotion research was newer. Finally, Emotion Measurement, Second Edition provides coverage of cross-cultural research on emotions. This is critical because much of the newer commercial research is aimed at markets around the world, requiring methods that work in many cultures. And the universality of emotions has been a topic of research for decades. Taking both an academic and applied approach, Emotion Measurement, Second Edition will be an invaluable reference for those conducting basic academic research on emotions and for sensory and consumer scientists, and the product developers and marketing professionals they work alongside. Reviews both the academic and the applied strands of emotion measurement research Focuses on cross-cultural studies of emotions, which is currently lacking from most of the literature in the field Highlights methods for studying emotions in both basic and applied studies

Sentiment analysis is a branch of natural language processing concerned with the study of the intensity of the emotions expressed in a piece of text. The automated analysis of the multitude of messages delivered through social media is one of the hottest research fields, both in academy and in industry, due to its extremely high potential applicability in many different domains. This Special Issue describes both technological contributions to the field, mostly based on deep learning techniques, and specific applications in areas like health insurance, gender classification, recommender systems, and cyber aggression detection.