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EBookClubs

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Book Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

Download or read book Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks written by Arindam Chaudhuri and published by Springer. This book was released on 2019-04-06 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest research on hierarchical deep learning for multi-modal sentiment analysis. Further, it analyses sentiments in Twitter blogs from both textual and visual content using hierarchical deep learning networks: hierarchical gated feedback recurrent neural networks (HGFRNNs). Several studies on deep learning have been conducted to date, but most of the current methods focus on either only textual content, or only visual content. In contrast, the proposed sentiment analysis model can be applied to any social blog dataset, making the book highly beneficial for postgraduate students and researchers in deep learning and sentiment analysis. The mathematical abstraction of the sentiment analysis model is presented in a very lucid manner. The complete sentiments are analysed by combining text and visual prediction results. The book’s novelty lies in its development of innovative hierarchical recurrent neural networks for analysing sentiments; stacking of multiple recurrent layers by controlling the signal flow from upper recurrent layers to lower layers through a global gating unit; evaluation of HGFRNNs with different types of recurrent units; and adaptive assignment of HGFRNN layers to different timescales. Considering the need to leverage large-scale social multimedia content for sentiment analysis, both state-of-the-art visual and textual sentiment analysis techniques are used for joint visual-textual sentiment analysis. The proposed method yields promising results from Twitter datasets that include both texts and images, which support the theoretical hypothesis.

Book Emerging Technologies in Data Mining and Information Security

Download or read book Emerging Technologies in Data Mining and Information Security written by Aboul Ella Hassanien and published by Springer Nature. This book was released on 2021-05-04 with total page 922 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2020) held at the University of Engineering & Management, Kolkata, India, during July 2020. The book is organized in three volumes and includes high-quality research work by academicians and industrial experts in the field of computing and communication, including full-length papers, research-in-progress papers and case studies related to all the areas of data mining, machine learning, Internet of things (IoT) and information security.

Book Deep Learning and Reinforcement Learning

Download or read book Deep Learning and Reinforcement Learning written by and published by BoD – Books on Demand. This book was released on 2023-11-15 with total page 132 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Book Recent Developments in Machine and Human Intelligence

Download or read book Recent Developments in Machine and Human Intelligence written by Rajest, S. Suman and published by IGI Global. This book was released on 2023-09-11 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Establishing the means to improve performance in healthy, clinical, and military populations has long been a focus of study in the psychological and brain sciences. However, a major obstacle to this goal is generating individualized performance phenotypes that allow for the design of interventions that are tailored to the specific needs of the individual. Recent developments in artificial intelligence (AI) have qualified for the development of precision approaches that consider individual differences, allowing, for example, the establishment of individualized training, preparation, and recuperation programs optimal for an individual’s cognitive and biological phenotype. Corollary developments in AI have proven that combining domain expertise and stakeholder insights can considerably improve AI’s quality, performance, and dependability in the psychology and brain sciences. Recent Developments in Machine and Human Intelligence studies original empirical work, literature reviews, and methodological papers that establish and validate precision AI methods for human performance optimization with a focus on modeling individual differences via state-of-the-art computational methods and investigating how domain expertise and human judgment can improve the performance of AI methods. The topics are crafted in such a way as to cover all the areas of artificial and human intelligence that require AI for further development. This book contains algorithms and techniques that are explained with the help of developed source code and encompasses the readiness and needs for advancements in managing yet another pandemic in the future. It is designed for academicians, scientists, research scholars, professors, graduates, undergraduates, and students.

Book Computing and Machine Learning

    Book Details:
  • Author : Jagdish Chand Bansal
  • Publisher : Springer Nature
  • Release :
  • ISBN : 9819765889
  • Pages : 510 pages

Download or read book Computing and Machine Learning written by Jagdish Chand Bansal and published by Springer Nature. This book was released on with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Deep Learning Based Approaches for Sentiment Analysis

Download or read book Deep Learning Based Approaches for Sentiment Analysis written by Basant Agarwal and published by Springer Nature. This book was released on 2020-01-24 with total page 326 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers deep-learning-based approaches for sentiment analysis, a relatively new, but fast-growing research area, which has significantly changed in the past few years. The book presents a collection of state-of-the-art approaches, focusing on the best-performing, cutting-edge solutions for the most common and difficult challenges faced in sentiment analysis research. Providing detailed explanations of the methodologies, the book is a valuable resource for researchers as well as newcomers to the field.

Book Emotion recognition using brain computer interfaces and advanced artificial intelligence

Download or read book Emotion recognition using brain computer interfaces and advanced artificial intelligence written by Yizhang Jiang and published by Frontiers Media SA. This book was released on 2023-02-17 with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Multi Modal Sentiment Analysis

Download or read book Multi Modal Sentiment Analysis written by Hua Xu and published by Springer Nature. This book was released on 2023-11-26 with total page 278 pages. Available in PDF, EPUB and Kindle. Book excerpt: The natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.

Book Artificial Intelligence and Mobile Services     AIMS 2021

Download or read book Artificial Intelligence and Mobile Services AIMS 2021 written by Yi Pan and published by Springer Nature. This book was released on 2022-02-13 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 10th International Conference on Artificial Intelligence and Mobile Services, AIMS 2021, held as a virtual conference as part of SCF 2021, during December 10-14, 2021. The 9 full presented were carefully reviewed and selected from 20 submissions. They cover topics in AI Modeling, AI Analysis, AI and Mobile Applications, AI Architecture, AI Management, AI Engineering, mobile backend as a service (MBaaS), user experience of AI and mobile services.

Book Efficient deep neural network for intelligent robot system  Focusing on visual signal processing

Download or read book Efficient deep neural network for intelligent robot system Focusing on visual signal processing written by Xiao Bai and published by Frontiers Media SA. This book was released on 2023-05-04 with total page 155 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Computational Vision and Bio Inspired Computing

Download or read book Computational Vision and Bio Inspired Computing written by S. Smys and published by Springer Nature. This book was released on 2022-03-30 with total page 877 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes selected papers from the 5th International Conference on Computational Vision and Bio Inspired Computing (ICCVBIC 2021), held in Coimbatore, India, during November 25–26, 2021. This book presents state-of-the-art research innovations in computational vision and bio-inspired techniques. The book reveals the theoretical and practical aspects of bio-inspired computing techniques, like machine learning, sensor-based models, evolutionary optimization and big data modeling and management that make use of effectual computing processes in the bio-inspired systems. It also contributes to the novel research that focuses on developing bio-inspired computing solutions for various domains, such as human–computer interaction, image processing, sensor-based single processing, recommender systems and facial recognition, which play an indispensable part in smart agriculture, smart city, biomedical and business intelligence applications.

Book Proceedings of International Conference on Advanced Computing Applications

Download or read book Proceedings of International Conference on Advanced Computing Applications written by Jyotsna Kumar Mandal and published by Springer Nature. This book was released on 2021-11-23 with total page 837 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers presented at the 2nd International Conference on Advanced Computing Applications (ICACA 2021), held virtually during 27––28 March 2021. The book is divided into four sections. These are communication and computing, signal processing and multimedia, computational intelligence and data analytics and decision computing. The topics covered are advanced communication technologies, IoT-based systems and applications, network security and reliability, virtualization technologies, compressed sensors and multimedia applications, signal image and video processing, machine learning, pattern recognitions, intelligent computing, big data analytics, analytics in bio-computing, AI-driven 6G mobile wireless networks and autonomous driving.

Book Pattern Recognition and Computer Vision

Download or read book Pattern Recognition and Computer Vision written by Zhouchen Lin and published by Springer Nature. This book was released on with total page 524 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Advances in Computer Graphics

Download or read book Advances in Computer Graphics written by Nadia Magnenat-Thalmann and published by Springer Nature. This book was released on 2023-01-01 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 39th Computer Graphics International Conference on Advances in Computer Graphics, CGI 2022, held Virtually, during September 12–16, 2022. The 45 full papers included in this book were carefully reviewed and selected from 139 submissions. They were organized in topical sections as follows: image analysis & processing; graphs & networks; estimation & feature matching; 3d reconstruction; rendering & animation; detection & recognition; colors, paintings & layout; synthesis & generation; ar & user interfaces; medical imaging; segmentation; object detection; image attention & perception; and modeling & simulation.

Book MultiMedia Modeling

    Book Details:
  • Author : Ioannis Kompatsiaris
  • Publisher : Springer
  • Release : 2018-12-20
  • ISBN : 3030057100
  • Pages : 747 pages

Download or read book MultiMedia Modeling written by Ioannis Kompatsiaris and published by Springer. This book was released on 2018-12-20 with total page 747 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 11295 and 11296 constitutes the thoroughly refereed proceedings of the 25th International Conference on MultiMedia Modeling, MMM 2019, held in Thessaloniki, Greece, in January 2019. Of the 172 submitted full papers, 49 were selected for oral presentation and 47 for poster presentation; in addition, 6 demonstration papers, 5 industry papers, 6 workshop papers, and 6 papers for the Video Browser Showdown 2019 were accepted. All papers presented were carefully reviewed and selected from 204 submissions.

Book Text Analytics Unleashed  Enhancing Short Text Conversations and Tackling SMS Spam with Deep Learning and Machine Learning Techniques

Download or read book Text Analytics Unleashed Enhancing Short Text Conversations and Tackling SMS Spam with Deep Learning and Machine Learning Techniques written by R.Pallavi Reddy and published by Archers & Elevators Publishing House. This book was released on with total page 89 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Information Security and Cryptology

Download or read book Information Security and Cryptology written by Chunpeng Ge and published by Springer Nature. This book was released on 2024 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 14526 and 14527 constitutes the refereed proceedings of the 19th International Conference on Information Security and Cryptology, Inscrypt 2023, held in Hangzhou, China, during December 9–10, 2023. The 38 full papers and 7 short papers presented in these proceedings were carefully reviewed and selected from 152 submissions. The papers have been organized in the following topical sections: Part I: Signature; blockchain; cryptography primitive; public key cryptography; security and privacy; Part II: System security; cryptography engineering; cryptanalysis; short papers, posters.