This edited book showcases original research in the study of healthcare and health communication, while also providing a detailed overview of contemporary methods of discourse analysis. Discourse approaches remain under-represented in the field of health communication, despite their potential for affording detailed understanding of health-related text and talk across an array of contexts, for example in face-to-face and digital healthcare encounters, health promotion, and patients' accounts of illness experiences. This book aims to address this gap in the literature by offering the first book-length treatment of different approaches to discourse analysis in health(care) and illness contexts, and it will appeal both to linguists and to researchers in nursing and health sciences, sociology and anthropology.

This edited book showcases original research in the study of healthcare and health communication, while also providing a detailed overview of contemporary methods of discourse analysis. Discourse approaches remain under-represented in the field of health communication, despite their potential for affording detailed understanding of health-related text and talk across an array of contexts, for example in face-to-face and digital healthcare encounters, health promotion, and patients' accounts of illness experiences. This book aims to address this gap in the literature by offering the first book-length treatment of different approaches to discourse analysis in health(care) and illness contexts, and it will appeal both to linguists and to researchers in nursing and health sciences, sociology and anthropology.

**Shortlisted for the 2021 BAAL Book Prize for an outstanding book in the field of Applied Linguistics** Situated at the interface of corpus linguistics and health communication, Corpus, Discourse and Mental Health provides insights into the linguistic practices of members of three online support communities as they describe their experiences of living with and managing different mental health problems, including anorexia nervosa, depression and diabulimia. In examining contemporary health communication data, the book combines quantitative corpus linguistic methods with qualitative discourse analysis that draws upon recent theoretical insights from critical health sociology. Using this mixed-methods approach, the analysis identifies patterns and consistencies in the language used by people experiencing psychological distress and their role in realising varying representations of mental illness, diagnosis and treatment. Far from being neutral accounts of suffering and treating illness, corpus analysis illustrates that these interactions are suffused with moral and ideological tensions sufferers seek to collectively negotiate responsibility for the onset and treatment of recalcitrant mental health problems. Integrating corpus linguistics, critical discourse analysis and health sociology, this book showcases the capacity of linguistic analysis for understanding mental health discourse as well as critically exploring the potential of corpus linguistics to offer an evidence-based approach to health communication research.

Artificial Intelligence and expert systems research, development, and demonstration have rapidly expanded over the past several years; as a result, new terminology is appearing at a phenomenal rate. This sourcebook provides an introduction to artificial intelligence and expert systems, it provides brief definitions, it includes brief descriptions of software products, and vendors, and notes leaders in the field. Extensive support material is provided by delineating points of contact for receiving additional information, acronyms, a detailed bibliography, and other reference data. The terminology includes artificial intelligence and expert system elements for: * Artificial Intelligence * Expert Systems * Natural language Processing * Smart Robots * Machine Vision * Speech Synthesis The Artificial Intelligence and Expert System Sourcebook is compiled from informa tion acquired from numerous books, journals, and authorities in the field of artificial intelligence and expert systems. I hope this compilation of information will help clarify the terminology for artificial intelligence and expert systems' activities. Your comments, revisions, or questions are welcome. V. Daniel Hunt Springfield, Virginia May, 1986 ix Acknowledgments The information in Artificial Intelligence and Expert Systems Sourcebook has been compiled from a wide variety of authorities who are specialists in their respective fields. The following publications were used as the basic technical resources for this book. Portions of these publications may have been used in the book. Those definitions or artwork used have been reproduced with the permission to reprint of the respective publisher.

The first practical guide to using reengineering to dramatically improve the development and success of new products. Executives, product development teams and engineering design groups will see how to consistently execute successful new product launches. In a compelling, clear fashion, Hunt describes how companies can fully integrate their product development process by focusing on seven key initiatives. They include process understanding; broad-based process reengineering; establishing quality goals and multi-functional teams; using the right tools and techniques; and implementing ongoing continuous improvement.

**Shortlisted for the 2021 BAAL Book Prize for an outstanding book in the field of Applied Linguistics** Situated at the interface of corpus linguistics and health communication, Corpus, Discourse and Mental Health provides insights into the linguistic practices of members of three online support communities as they describe their experiences of living with and managing different mental health problems, including anorexia nervosa, depression and diabulimia. In examining contemporary health communication data, the book combines quantitative corpus linguistic methods with qualitative discourse analysis that draws upon recent theoretical insights from critical health sociology. Using this mixed-methods approach, the analysis identifies patterns and consistencies in the language used by people experiencing psychological distress and their role in realising varying representations of mental illness, diagnosis and treatment. Far from being neutral accounts of suffering and treating illness, corpus analysis illustrates that these interactions are suffused with moral and ideological tensions sufferers seek to collectively negotiate responsibility for the onset and treatment of recalcitrant mental health problems. Integrating corpus linguistics, critical discourse analysis and health sociology, this book showcases the capacity of linguistic analysis for understanding mental health discourse as well as critically exploring the potential of corpus linguistics to offer an evidence-based approach to health communication research.

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