Multimodal Sentiment Analysis: A Survey

Multimodal sentiment analysis has become an important research area in the field of artificial intelligence. With the latest advances in deep learning, this technology has reached new heights. It has great potential for both application and research, making it a popular research topic. This review provides an overview of the definition, background, and development of multimodal sentiment analysis. It also covers recent datasets and advanced models, emphasizing the challenges and future prospects of this technology. Finally, it looks ahead to future research directions. It should be noted that this review provides constructive suggestions for promising research directions and building better performing multimodal sentiment analysis models, which can help researchers in this field.Comment: It needs to be returned for major modification

The Rise of iWar: Identity, Information, and the Individualization of Modern Warfare

During a decade of global counterterrorism operations and two extended counterinsurgency campaigns, the United States was confronted with a new kind of adversary. Without uniforms, flags, and formations, the task of identifying and targeting these combatants represented an unprecedented operational challenge for which Cold War era doctrinal methods were largely unsuited. This monograph examines the doctrinal, technical, and bureaucratic innovations that evolved in response to these new operational challenges. It discusses the transition from a conventionally focused, Cold War-era targeting process to one optimized for combating networks and conducting identity-based targeting. It analyzes the policy decisions and strategic choices that were the catalysts of this change and concludes with an in depth examination of emerging technologies that are likely to shape how this mode of warfare will be waged in the future.https://press.armywarcollege.edu/monographs/1436/thumbnail.jp

Digital Sound Studies

The digital turn has created new opportunities for scholars across disciplines to use sound in their scholarship. This volume’s contributors provide a blueprint for making sound central to research, teaching, and dissemination. They show how digital sound studies has the potential to transform silent, text-centric cultures of communication in the humanities into rich, multisensory experiences that are more inclusive of diverse knowledges and abilities. Drawing on multiple disciplines—including rhetoric and composition, performance studies, anthropology, history, and information science—the contributors to Digital Sound Studies bring digital humanities and sound studies into productive conversation while probing the assumptions behind the use of digital tools and technologies in academic life. In so doing, they explore how sonic experience might transform our scholarly networks, writing processes, research methodologies, pedagogies, and knowledges of the archive