Proceedings Of The 4th On Multimodal Sentiment Analysis Challenge And Workshop Mimicked Emotions Humour And Personalisation


Proceedings Of The 4th On Multimodal Sentiment Analysis Challenge And Workshop Mimicked Emotions Humour And Personalisation
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Intelligent Human Computer Interaction


Intelligent Human Computer Interaction
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Author : Bong Jun Choi
language : en
Publisher: Springer Nature
Release Date :

Intelligent Human Computer Interaction written by Bong Jun Choi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.




Multi Modal Sentiment Analysis


Multi Modal Sentiment Analysis
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Author : Hua Xu
language : en
Publisher: Springer Nature
Release Date : 2023-11-26

Multi Modal Sentiment Analysis written by Hua Xu and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-11-26 with Technology & Engineering categories.


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.



Proceedings Of The 4th International Workshop On Audiovisual Emotion Challenge


Proceedings Of The 4th International Workshop On Audiovisual Emotion Challenge
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Author : Michel Valstar
language : en
Publisher:
Release Date : 2014

Proceedings Of The 4th International Workshop On Audiovisual Emotion Challenge written by Michel Valstar and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Computer science categories.




Multimodal Sentiment Analysis


Multimodal Sentiment Analysis
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Author : Soujanya Poria
language : en
Publisher: Springer
Release Date : 2018-10-24

Multimodal Sentiment Analysis written by Soujanya Poria and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-10-24 with Medical categories.


This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches. Aimed at the Natural Language Processing, Affective Computing and Artificial Intelligence audiences, this comprehensive volume will appeal to a wide readership and will help readers to understand key details on multimodal sentiment analysis.



Multimodal Sentiment Analysis


Multimodal Sentiment Analysis
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Author : Soujanya Poria
language : en
Publisher:
Release Date : 2018

Multimodal Sentiment Analysis written by Soujanya Poria and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with COMPUTERS categories.


This latest volume in the series, Socio-Affective Computing, presents a set of novel approaches to analyze opinionated videos and to extract sentiments and emotions. Textual sentiment analysis framework as discussed in this book contains a novel way of doing sentiment analysis by merging linguistics with machine learning. Fusing textual information with audio and visual cues is found to be extremely useful which improves text, audio and visual based unimodal sentiment analyzer. This volume covers the three main topics of: textual preprocessing and sentiment analysis methods; frameworks to process audio and visual data; and methods of textual, audio and visual features fusion. The inclusion of key visualization and case studies will enable readers to understand better these approaches.



Research In The Wild


Research In The Wild
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Author : YVONNE ROGERS
language : en
Publisher: Springer Nature
Release Date : 2022-05-31

Research In The Wild written by YVONNE ROGERS and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.


The phrase "in-the-wild" is becoming popular again in the field of human-computer interaction (HCI), describing approaches to HCI research and accounts of user experience phenomena that differ from those derived from other lab-based methods. The phrase first came to the forefront 20-25 years ago when anthropologists Jean Lave (1988), Lucy Suchman (1987), and Ed Hutchins (1995) began writing about cognition being in-the-wild. Today, it is used more broadly to refer to research that seeks to understand new technology interventions in everyday living. A reason for its resurgence in contemporary HCI is an acknowledgment that so much technology is now embedded and used in our everyday lives. Researchers have begun following suit—decamping from their usability and living labs and moving into the wild; carrying out in-situ development and engagement, sampling experiences, and probing people in their homes and on the streets. The aim of this book is to examine what this new direction entails and what it means for HCI theory, practice, and design. The focus is on the insights, demands and concerns. But how does research in the wild differ from the other applied approaches in interaction design, such as contextual design, action research, or ethnography? What is added by labeling user research as being in-the-wild? One main difference is where the research starts and ends: unlike user-centered, and more specifically, ethnographic approaches which typically begin by observing existing practices and then suggesting general design implications or system requirements, in-the-wild approaches create and evaluate new technologies and experiences in situ(Rogers, 2012). Moreover, novel technologies are often developed to augment people, places, and settings, without necessarily designing them for specific user needs. There has also been a shift in design thinking. Instead of developing solutions that fit in with existing practices, researchers are experimenting with new technological possibilities that can change and even disrupt behavior. Opportunities are created, interventions installed, and different ways of behaving are encouraged. A key concern is how people react, change and integrate these in their everyday lives. This book outlines the emergence and development of research in the wild. It is structured around a framework for conceptualizing and bringing together the different strands. It covers approaches, methods, case studies, and outcomes. Finally, it notes that there is more in the wild research in HCI than usability and other kinds of user studies in HCI and what the implications of this are for the field.



Building And Using Comparable Corpora


Building And Using Comparable Corpora
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Author : Serge Sharoff
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-13

Building And Using Comparable Corpora written by Serge Sharoff and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-13 with Computers categories.


The 1990s saw a paradigm change in the use of corpus-driven methods in NLP. In the field of multilingual NLP (such as machine translation and terminology mining) this implied the use of parallel corpora. However, parallel resources are relatively scarce: many more texts are produced daily by native speakers of any given language than translated. This situation resulted in a natural drive towards the use of comparable corpora, i.e. non-parallel texts in the same domain or genre. Nevertheless, this research direction has not produced a single authoritative source suitable for researchers and students coming to the field. The proposed volume provides a reference source, identifying the state of the art in the field as well as future trends. The book is intended for specialists and students in natural language processing, machine translation and computer-assisted translation.



Sentic Computing


Sentic Computing
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Author : Erik Cambria
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-07-28

Sentic Computing written by Erik Cambria and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-28 with Medical categories.


In this book common sense computing techniques are further developed and applied to bridge the semantic gap between word-level natural language data and the concept-level opinions conveyed by these. In particular, the ensemble application of graph mining and multi-dimensionality reduction techniques is exploited on two common sense knowledge bases to develop a novel intelligent engine for open-domain opinion mining and sentiment analysis. The proposed approach, termed sentic computing, performs a clause-level semantic analysis of text, which allows the inference of both the conceptual and emotional information associated with natural language opinions and, hence, a more efficient passage from (unstructured) textual information to (structured) machine-processable data.



Sentic Computing


Sentic Computing
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Author : Erik Cambria
language : en
Publisher: Springer
Release Date : 2015-12-11

Sentic Computing written by Erik Cambria and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-12-11 with Medical categories.


This volume presents a knowledge-based approach to concept-level sentiment analysis at the crossroads between affective computing, information extraction, and common-sense computing, which exploits both computer and social sciences to better interpret and process information on the Web. Concept-level sentiment analysis goes beyond a mere word-level analysis of text in order to enable a more efficient passage from (unstructured) textual information to (structured) machine-processable data, in potentially any domain. Readers will discover the following key novelties, that make this approach so unique and avant-garde, being reviewed and discussed: • Sentic Computing's multi-disciplinary approach to sentiment analysis-evidenced by the concomitant use of AI, linguistics and psychology for knowledge representation and inference • Sentic Computing’s shift from syntax to semantics-enabled by the adoption of the bag-of-concepts model instead of simply counting word co-occurrence frequencies in text • Sentic Computing's shift from statistics to linguistics-implemented by allowing sentiments to flow from concept to concept based on the dependency relation between clauses This volume is the first in the Series Socio-Affective Computing edited by Dr Amir Hussain and Dr Erik Cambria and will be of interest to researchers in the fields of socially intelligent, affective and multimodal human-machine interaction and systems.



Handling Emotions In Human Computer Dialogues


Handling Emotions In Human Computer Dialogues
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Author : Johannes Pittermann
language : en
Publisher: Springer Science & Business Media
Release Date : 2009-10-28

Handling Emotions In Human Computer Dialogues written by Johannes Pittermann and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-10-28 with Language Arts & Disciplines categories.


In this book, a novel approach that combines speech-based emotion recognition with adaptive human-computer dialogue modeling is described. With the robust recognition of emotions from speech signals as their goal, the authors analyze the effectiveness of using a plain emotion recognizer, a speech-emotion recognizer combining speech and emotion recognition, and multiple speech-emotion recognizers at the same time. The semi-stochastic dialogue model employed relates user emotion management to the corresponding dialogue interaction history and allows the device to adapt itself to the context, including altering the stylistic realization of its speech. This comprehensive volume begins by introducing spoken language dialogue systems and providing an overview of human emotions, theories, categorization and emotional speech. It moves on to cover the adaptive semi-stochastic dialogue model and the basic concepts of speech-emotion recognition. Finally, the authors show how speech-emotion recognizers can be optimized, and how an adaptive dialogue manager can be implemented. The book, with its novel methods to perform robust speech-based emotion recognition at low complexity, will be of interest to a variety of readers involved in human-computer interaction.