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Communication Under The Microscope

Author: Peter Bull
Publisher: Routledge
ISBN: 1134964048
Size: 33.21 MB
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Social interaction in recent years has become the focus of systematic scientific research in a wide variety of academic disciplines. In Communication under the Microscope, Peter Bull shows how communication has become an object of study in its own right, which can be dissected in the finest detail through the use of film and recording technology. In so doing he provides a clear and valuable introduction into the theory and practice of microanalysis. Bull argues that microanalysis is both a distinctive methodology and a distinctive way of thinking about communication. He then focuses on the two principal elements of face-to-face communication: speech and non-verbal behaviour. Communication in particular social contexts is also addressed with related chapters on gender and politics. Finally, the practical aspects of microanalysis are discussed. This unique and thorough review of microanalysis integrates different approaches and draws together research literature which is often diverse and disparate. Presented in a clear and focused style, this book will be of interest to psychologists, social scientists and all students and researchers in the field of communication. Communication is central to many aspects of human life, yet it has only recently become the focus of systematic scientific investigation within a wide variety of academic disciplines. Communication has now become an object of study in its own right, and can be dissected in the finest detail with the use of recording technology (film, audiotape and videotape). This approach has become known as 'microanalysis', and forms the principal theme of Communication under the Microscope.

The Microanalysis Of Political Communication

Author: Peter Bull
Publisher: Routledge
ISBN: 1134480520
Size: 64.14 MB
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This analysis of political speeches and televised political interviews in the UK, based on the Annual Party Conferences (1996-2000) and the last five general elections (1983-2001), evaluates the interview skills of politicians and political interviewers, investigates how and why politicians equivocate and handle interruptions and examines the nature of applause, both invited and uninvited, in political speeches.

Analyzing Genres In Political Communication

Author: Piotr Cap
Publisher: John Benjamins Publishing
ISBN: 9027271488
Size: 21.13 MB
Format: PDF, ePub, Docs
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Featuring contributions by leading specialists in the field, the volume is a survey of cutting edge research in genres in political discourse. Since, as is demonstrated, “political genres” reveal many of the problems pertaining to the analysis of communicative genres in general, it is also a state-of-the-art addition to contemporary genre theory. The book offers new methodological, theoretical and empirical insights in both the long-established genres (speeches, interviews, policy documents, etc.), and the modern, rapidly-evolving generic forms, such as online political ads or weblogs. The chapters, which engage in timely issues of genre mediatization, hybridity, multimodality, and the mixing of discursive styles, come from a broad range of perspectives spanning Critical Discourse Studies, pragmatics, cognitive psychology, sociolinguistics, applied linguistics and media studies. As such, they constitute essential reading for anyone seeking an interdisciplinary yet coherent research agenda within the vast and complex territory of today’s forms of political communication.

The Role Of Communication In Business Transactions And Relationships

Author: Michael Bernhard Hinner
Publisher: Peter Lang Pub Incorporated
ISBN:
Size: 15.34 MB
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Without communication business is not possible. It is, therefore, desirable and necessary that communication be integrated into all aspects of business if one wishes to truly comprehend and succeed in business transactions and relationships.

Face Image Analysis By Unsupervised Learning

Author: Marian Stewart Bartlett
Publisher: Springer Science & Business Media
ISBN: 9780792373483
Size: 14.39 MB
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Face Image Analysis by Unsupervised Learning explores adaptive approaches to image analysis. It draws upon principles of unsupervised learning and information theory to adapt processing to the immediate task environment. In contrast to more traditional approaches to image analysis in which relevant structure is determined in advance and extracted using hand-engineered techniques, Face Image Analysis by Unsupervised Learning explores methods that have roots in biological vision and/or learn about the image structure directly from the image ensemble. Particular attention is paid to unsupervised learning techniques for encoding the statistical dependencies in the image ensemble. The first part of this volume reviews unsupervised learning, information theory, independent component analysis, and their relation to biological vision. Next, a face image representation using independent component analysis (ICA) is developed, which is an unsupervised learning technique based on optimal information transfer between neurons. The ICA representation is compared to a number of other face representations including eigenfaces and Gabor wavelets on tasks of identity recognition and expression analysis. Finally, methods for learning features that are robust to changes in viewpoint and lighting are presented. These studies provide evidence that encoding input dependencies through unsupervised learning is an effective strategy for face recognition. Face Image Analysis by Unsupervised Learning is suitable as a secondary text for a graduate-level course, and as a reference for researchers and practitioners in industry.