Multi-Modal Sentiment Analysis

Multi-Modal Sentiment Analysis PDF Author: Hua Xu
Publisher: Springer Nature
ISBN: 9819957761
Category : Technology & Engineering
Languages : en
Pages : 278

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Book Description
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.

Multi-Modal Sentiment Analysis

Multi-Modal Sentiment Analysis PDF Author: Hua Xu
Publisher: Springer Nature
ISBN: 9819957761
Category : Technology & Engineering
Languages : en
Pages : 278

Get Book Here

Book Description
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.

Multimodal Corpora

Multimodal Corpora PDF Author: Michael Kipp
Publisher: Springer Science & Business Media
ISBN: 3642047920
Category : Computers
Languages : en
Pages : 231

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Book Description
Based on the International Workshop on "Multimodal Corpora: From Models of Natural Interaction to Systems and Applications", this expanded collection presents a comprehensive review of the current research in the field.

Big Data

Big Data PDF Author:
Publisher:
ISBN: 9789811607066
Category : Big data
Languages : en
Pages : 261

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Book Description
This book constitutes the proceedings of the 8th CCF Conference on Big Data, BigData 2020, held in Chongqing, China, in October 2020. The 16 full papers presented in this volume were carefully reviewed and selected from 65 submissions. They present recent research on theoretical and technical aspects on big data, as well as on digital economy demands in big data applications.

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies

Emotion and Stress Recognition Related Sensors and Machine Learning Technologies PDF Author: Kyandoghere Kyamakya
Publisher: MDPI
ISBN: 3036511385
Category : Technology & Engineering
Languages : en
Pages : 550

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Book Description
This book includes impactful chapters which present scientific concepts, frameworks, architectures and ideas on sensing technologies and machine learning techniques. These are relevant in tackling the following challenges: (i) the field readiness and use of intrusive sensor systems and devices for capturing biosignals, including EEG sensor systems, ECG sensor systems and electrodermal activity sensor systems; (ii) the quality assessment and management of sensor data; (iii) data preprocessing, noise filtering and calibration concepts for biosignals; (iv) the field readiness and use of nonintrusive sensor technologies, including visual sensors, acoustic sensors, vibration sensors and piezoelectric sensors; (v) emotion recognition using mobile phones and smartwatches; (vi) body area sensor networks for emotion and stress studies; (vii) the use of experimental datasets in emotion recognition, including dataset generation principles and concepts, quality insurance and emotion elicitation material and concepts; (viii) machine learning techniques for robust emotion recognition, including graphical models, neural network methods, deep learning methods, statistical learning and multivariate empirical mode decomposition; (ix) subject-independent emotion and stress recognition concepts and systems, including facial expression-based systems, speech-based systems, EEG-based systems, ECG-based systems, electrodermal activity-based systems, multimodal recognition systems and sensor fusion concepts and (x) emotion and stress estimation and forecasting from a nonlinear dynamical system perspective. This book, emerging from the Special Issue of the Sensors journal on “Emotion and Stress Recognition Related Sensors and Machine Learning Technologies” emerges as a result of the crucial need for massive deployment of intelligent sociotechnical systems. Such technologies are being applied in assistive systems in different domains and parts of the world to address challenges that could not be addressed without the advances made in these technologies.

2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA)

2020 Second International Conference on Inventive Research in Computing Applications (ICIRCA) PDF Author: IEEE Staff
Publisher:
ISBN: 9781728153759
Category :
Languages : en
Pages :

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Book Description
In recent years, Computing emerges as an integral part of almost all the modern industries like Software Engineering, Computer Engineering, and Information technology It is evident from the recent computing applications that it can easily encompass the design and development of various hardware and software architectures to be capable of structuring, managing and processing a different kind of information available in the emerging intelligent system architectures With its ability to transform information, there exists a various number of smart computing applications like cloud computing, edge computing, ubiquitous computing, quantum computing, and social computing Despite the hype, some areas of computing still need some research exploration

Psychopathology of Human Adaptation

Psychopathology of Human Adaptation PDF Author: George Serban
Publisher: Springer Science & Business Media
ISBN: 1468422383
Category : Psychology
Languages : en
Pages : 386

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Book Description
Undoubtedly this symposium will prove to be an important landmark in the development of our understanding of the psychopathology of human adaptation in general, as well as of the general adaptation syndrome and stress in particular. It was organized to give an opportunity to an international group of experts on adaptation and stress research to present summaries of their research that could then later be exhaustively analyzed. The carefully structured program brings out three major aspects of adapta tion to stress in experimental animals and man. The first section deals with the neurophysiology of stress responses, placing major emphasis upon the neuroanatomical and neurochemical aspects involved. The second section is devoted to the psychology and psychopathology of adaptive learning, motivation, anxiety, and stress. The third section examines the role played by stress in the pathogenesis of mental diseases. Many of the relevant subjects receive particularly detailed attention. Among these, the following are especially noteworthy: The existence of reward and drive neurons. Constitutional differences in physiological adaptations to stress and d- tress. Motivation, mood, and mental events in relation to adaptive processes. Peripheral catecholamines and adaptation to underload and overload. Selective corticoid and catecholamine responses to various natural stimuli. The differentiation between eustress and distress. Resistance and overmotivation in achievement-oriented activity. The dynamics of conscience and contract psychology. Sources of stress in the drive for power. Advances in the therapy of psychiatric illness. The application of experimental studies on learning to the treatment of neuroses.

High-Performance Modelling and Simulation for Big Data Applications

High-Performance Modelling and Simulation for Big Data Applications PDF Author: Joanna Kołodziej
Publisher: Springer
ISBN: 3030162729
Category : Computers
Languages : en
Pages : 364

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Book Description
This open access book was prepared as a Final Publication of the COST Action IC1406 “High-Performance Modelling and Simulation for Big Data Applications (cHiPSet)“ project. Long considered important pillars of the scientific method, Modelling and Simulation have evolved from traditional discrete numerical methods to complex data-intensive continuous analytical optimisations. Resolution, scale, and accuracy have become essential to predict and analyse natural and complex systems in science and engineering. When their level of abstraction raises to have a better discernment of the domain at hand, their representation gets increasingly demanding for computational and data resources. On the other hand, High Performance Computing typically entails the effective use of parallel and distributed processing units coupled with efficient storage, communication and visualisation systems to underpin complex data-intensive applications in distinct scientific and technical domains. It is then arguably required to have a seamless interaction of High Performance Computing with Modelling and Simulation in order to store, compute, analyse, and visualise large data sets in science and engineering. Funded by the European Commission, cHiPSet has provided a dynamic trans-European forum for their members and distinguished guests to openly discuss novel perspectives and topics of interests for these two communities. This cHiPSet compendium presents a set of selected case studies related to healthcare, biological data, computational advertising, multimedia, finance, bioinformatics, and telecommunications.

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction

Multimodal Pattern Recognition of Social Signals in Human-Computer-Interaction PDF Author: Friedhelm Schwenker
Publisher: Springer
ISBN: 3642370810
Category : Computers
Languages : en
Pages : 139

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Book Description
This book constitutes the thoroughly refereed post-workshop proceedings of the First IAPR TC3 Workshop on Pattern Recognition of Social Signals in Human-Computer-Interaction (MPRSS2012), held in Tsukuba, Japan in November 2012, in collaboration with the NLGD Festival of Games. The 21 revised papers presented during the workshop cover topics on facial expression recognition, audiovisual emotion recognition, multimodal Information fusion architectures, learning from unlabeled and partially labeled data, learning of time series, companion technologies and robotics.

The Handbook of Multimodal-Multisensor Interfaces, Volume 1

The Handbook of Multimodal-Multisensor Interfaces, Volume 1 PDF Author: Sharon Oviatt
Publisher: Morgan & Claypool
ISBN: 1970001666
Category : Computers
Languages : en
Pages : 598

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Book Description
The Handbook of Multimodal-Multisensor Interfaces provides the first authoritative resource on what has become the dominant paradigm for new computer interfaces— user input involving new media (speech, multi-touch, gestures, writing) embedded in multimodal-multisensor interfaces. These interfaces support smart phones, wearables, in-vehicle and robotic applications, and many other areas that are now highly competitive commercially. This edited collection is written by international experts and pioneers in the field. It provides a textbook, reference, and technology roadmap for professionals working in this and related areas. This first volume of the handbook presents relevant theory and neuroscience foundations for guiding the development of high-performance systems. Additional chapters discuss approaches to user modeling and interface designs that support user choice, that synergistically combine modalities with sensors, and that blend multimodal input and output. This volume also highlights an in-depth look at the most common multimodal-multisensor combinations—for example, touch and pen input, haptic and non-speech audio output, and speech-centric systems that co-process either gestures, pen input, gaze, or visible lip movements. A common theme throughout these chapters is supporting mobility and individual differences among users. These handbook chapters provide walk-through examples of system design and processing, information on tools and practical resources for developing and evaluating new systems, and terminology and tutorial support for mastering this emerging field. In the final section of this volume, experts exchange views on a timely and controversial challenge topic, and how they believe multimodal-multisensor interfaces should be designed in the future to most effectively advance human performance.

Proceedings of International Conference on Communication and Artificial Intelligence

Proceedings of International Conference on Communication and Artificial Intelligence PDF Author: Vishal Goyal
Publisher: Springer Nature
ISBN: 9813365463
Category : Technology & Engineering
Languages : en
Pages : 598

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Book Description
This book is a collection of best selected research papers presented at the International Conference on Communication and Artificial Intelligence (ICCAI 2020), held in the Department of Electronics & Communication Engineering, GLA University, Mathura, India, during 17–18 September 2020. The primary focus of the book is on the research information related to artificial intelligence, networks, and smart systems applied in the areas of industries, government sectors, and educational institutions worldwide. Diverse themes with a central idea of sustainable networking solutions are discussed in the book. The book presents innovative work by leading academics, researchers, and experts from industry.