With the advent of new media and Web 2.0 technologies, language and discourse have taken on new meaning, and the implications of this evolution on the nature of interpersonal communication must be addressed. Innovative Methods and Technologies for Electronic Discourse Analysis highlights research, applications, frameworks, and theories of online communication to explore recent advances in the manipulation and shaping of meaning in electronic discourse. This essential research collection will appeal to academic, research, and professional audiences engaged in the design, development, and distribution of effective communications technologies in educational, social, and linguistic contexts.

Open access to information resources and technology can have a profound impact on the economic development of a region as well as society in general. In recent years, reaction against proprietary knowledge and technology has led to tremendous debate both in academic and professional circles. Societal Benefits of Freely Accessible Technologies and Knowledge Resources analyzes current perspectives on the advantages of unrestricted access to information resources and technology intended to advance the prospect for knowledge, innovation, and development across the globe. Touching on topics of relevance to the private and public sectors, this publication is ideally designed for use by policymakers, business managers, academicians, researchers, students, IT practitioners, and legal professionals.

The fields of computer vision and image processing are constantly evolving as new research and applications in these areas emerge. Staying abreast of the most up-to-date developments in this field is necessary in order to promote further research and apply these developments in real-world settings. Computer Vision and Image Processing in Intelligent Systems and Multimedia Technologies features timely and informative research on the design and development of computer vision and image processing applications in intelligent agents as well as in multimedia technologies. Covering a diverse set of research in these areas, this publication is ideally designed for use by academicians, technology professionals, students, and researchers interested in uncovering the latest innovations in the field.

The expansion of digital data has transformed various sectors of business such as healthcare, industrial manufacturing, and transportation. A new way of solving business problems has emerged through the use of machine learning techniques in conjunction with big data analytics. Deep Learning Innovations and Their Convergence With Big Data is a pivotal reference for the latest scholarly research on upcoming trends in data analytics and potential technologies that will facilitate insight in various domains of science, industry, business, and consumer applications. Featuring extensive coverage on a broad range of topics and perspectives such as deep neural network, domain adaptation modeling, and threat detection, this book is ideally designed for researchers, professionals, and students seeking current research on the latest trends in the field of deep learning techniques in big data analytics.

As the utilization of intelligent machines spreads to numerous realms, the discourse of machine ethics has also developed and expanded. Concerns over machine intelligence and the role of automata in everyday life must be addressed before artificial intelligence and robotic technologies may be fully integrated into human society. Rethinking Machine Ethics in the Age of Ubiquitous Technology blends forward-looking, constructive, and interdisciplinary visions of ethical ideals, aims, and applications of machine technology. This visionary reference work incorporates ethical conversations in the fields of technology, computer science, robotics, and the medical industry, creating a vibrant dialogue between philosophical ideals and the applied sciences. With its broad scope of relevant topics, this book serves as an excellent tool for policymakers, academicians, researchers, advanced-level students, technology developers, and government officials. This timely publication features thoroughly researched articles on the topics of artificial moral agency, cyber-warfare, transhumanism, organic neural nets, human worker replacement, automaticity and global governance, security and surveillance, military drones, and more.

This volume addresses some of the most important conceptual, methodological, and empirical challenges and opportunities with which the sister disciplines of semiotics and discourse analysis are mutually confronted in the context of considering new avenues of cross-disciplinary application to distinctive branding research streams. In continuation of the collective volume 'Handbook of Brand Semiotics' (Kassel University Press, 2015), which sought to consolidate relevant scholarship and to identify the main territories that have been established at the cross-roads between branding and semiotic research, the current 'Advances in Brand Semiotics & Discourse Analysis' aims at accomplishing further strides in critical areas, such as the exigency for reconsidering the aptness of existing semiotic theories in the face of the radically shifting co-creative landscape of digital branding, the benefits of systematically micro-analyzing brand communities’ discourses by drawing on CAQDAS programs, the combination of big data analytics with discourse theory in corpus analysis, and the epistemological issues that emerge while combining discourse analysis with time-hallowed marketing qualitative and quantitative research methods. At the same time, the volume hosts a resourceful blend of empirical studies and novel conceptual frameworks in burgeoning streams, such as place, heritage, culinary, personal, and political branding.