Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines

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Release : 2022-06-10
Genre : Computers
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Book Rating : 040/5 ( reviews)

Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines write by Management Association, Information Resources. This book was released on 2022-06-10. Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines available in PDF, EPUB and Kindle. The rise of internet and social media usage in the past couple of decades has presented a very useful tool for many different industries and fields to utilize. With much of the world’s population writing their opinions on various products and services in public online forums, industries can collect this data through various computational tools and methods. These tools and methods, however, are still being perfected in both collection and implementation. Sentiment analysis can be used for many different industries and for many different purposes, which could better business performance and even society. The Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines discusses the tools, methodologies, applications, and implementation of sentiment analysis across various disciplines and industries such as the pharmaceutical industry, government, and the tourism industry. It further presents emerging technologies and developments within the field of sentiment analysis and opinion mining. Covering topics such as electronic word of mouth (eWOM), public security, and user similarity, this major reference work is a comprehensive resource for computer scientists, IT professionals, AI scientists, business leaders and managers, marketers, advertising agencies, public administrators, government officials, university administrators, libraries, students and faculty of higher education, researchers, and academicians.

AI-Enabled Social Robotics in Human Care Services

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Release : 2023-04-24
Genre : Technology & Engineering
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Book Rating : 731/5 ( reviews)

AI-Enabled Social Robotics in Human Care Services - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook AI-Enabled Social Robotics in Human Care Services write by Kautish, Sandeep. This book was released on 2023-04-24. AI-Enabled Social Robotics in Human Care Services available in PDF, EPUB and Kindle. As social robots and the artificial intelligence (AI) that powers them become more advanced, they will likely take on more social and work roles. There is a variety of ways social robots can be engaged in human life, and they can leave an impact in terms of ease of use, productivity, and human support. The interactivity and receptivity of social robots can encourage humans to form social relationships with them. But now robots are intended to perform socially intelligent and interactive services like reception, guidance, emotional companionship, and more, which makes social human-robot interaction essential to help improve aspects of quality of life as well as to improve the efficiency of human care services. AI-Enabled Social Robotics in Human Care Services addresses recent advances in the latest technologies, new research results, and developments in the area of social robotics and AI and the latest developments in the field and future directions that can be beneficial to human society and human care services. Covering topics such as agriculture waste management systems, elder care, and facial emotion recognition, this premier reference source is an essential resource for AI professionals, computer scientists, robotics engineers, human care professionals, students and educators of higher education, librarians, researchers, and academicians.

Internet of Behaviors (IoB)

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Release : 2023-05-23
Genre : Computers
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Book Rating : 376/5 ( reviews)

Internet of Behaviors (IoB) - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Internet of Behaviors (IoB) write by R. Dhaya. This book was released on 2023-05-23. Internet of Behaviors (IoB) available in PDF, EPUB and Kindle. This book is intended to survey the Internet of Behavior (IoB). The book begins with the benefits and potential pitfalls of IoB. Today, IoB has huge potential in every sector of the world. There are numerous applications for IoB which benefit users as well as the business market in order to enhance the user experience. In this book, the benefits of IoB and its negative constraints are discussed in detail. It is a high time that IoB is to take its crown and ruled the world. The work of IoB is critical in keeping our data secure because it can currently identify all humans who attempt to steal someone’s data. Moreover, the business uses of IoB are in high demand. By leveraging promising technical improvements and advances in machine learning algorithms, IoB enables capture, analysis, comprehension, and response for all types of human behavior in a technique that enables the tracking and interpretation of the behavior. IoB can be very useful wherever the behavior, preferences, interests, and location of people need to be examined. On the other hand, an analytical study on consumers’ social and behavioral psychology and their influence on online purchasing is much needed. With the help of visualization tools such as Tableau and detailed reporting on selection patterns, the impact of social media on decision making and the relationship between personality and purchasing power in various age groups is found. The presented study lists major decision-making psychometric factors and highlights critical factors affecting online purchases. The role of IoB is to shape customer service through the use of artificial intelligence, cloud computing, data, smart analytics, machine learning, and other volatile technologies. The attractive components of this book are discussions of dynamic routing mechanisms to reduce energy consumption in software-defined networks; deep insight into Internet of Things (IoT) and IoB security and privacy concerns – applications and future challenges; sentiment analysis and feature reduction using an arboreal monkey compression algorithm with a deep modified neural network classifier; cybersecurity concerns for IoB; and identification of nutrients and microbial contamination in fruits and vegetables using a technology using the Internet of Behavior. There is no doubt that this book covers numerous interesting themes and details on the Internet of Behavior.

Advancements in Smart Computing and Information Security

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Book Rating : 97X/5 ( reviews)

Advancements in Smart Computing and Information Security - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Advancements in Smart Computing and Information Security write by Sridaran Rajagopal. This book was released on . Advancements in Smart Computing and Information Security available in PDF, EPUB and Kindle.

Deep Learning and Reinforcement Learning

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Release : 2023-11-15
Genre : Computers
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Book Rating : 506/5 ( reviews)

Deep Learning and Reinforcement Learning - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Deep Learning and Reinforcement Learning write by . This book was released on 2023-11-15. Deep Learning and Reinforcement Learning available in PDF, EPUB and Kindle. Deep learning and reinforcement learning are some of the most important and exciting research fields today. With the emergence of new network structures and algorithms such as convolutional neural networks, recurrent neural networks, and self-attention models, these technologies have gained widespread attention and applications in fields such as natural language processing, medical image analysis, and Internet of Things (IoT) device recognition. This book, Deep Learning and Reinforcement Learning examines the latest research achievements of these technologies and provides a reference for researchers, engineers, students, and other interested readers. It helps readers understand the opportunities and challenges faced by deep learning and reinforcement learning and how to address them, thus improving the research and application capabilities of these technologies in related fields.