Multi-Modal Sentiment Analysis
Multi-Modal Sentiment Analysis

Author: Hua Xu

Publisher: Springer Nature

Published: 2023-11-26

Total Pages: 278

ISBN-13: 9819957761

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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.

The Discourse of YouTube
The Discourse of YouTube

Author: Phil Benson

Publisher: Taylor & Francis

Published: 2016-10-26

Total Pages: 140

ISBN-13: 1317295129

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The Discourse of YouTube explores the cutting edge of contemporary multimodal discourse through an in-depth analysis of structures, processes and content in YouTube discourse. YouTube is often seen as no more than a place to watch videos, but this book argues that YouTube and YouTube pages can also be read and analysed as complex, multi-authored, multimodal texts, emerging dynamically from processes of textually-mediated social interaction. The objective of the book is to show how multimodal discourse analysis tools can help us to understand the structures and processes involved in the production of YouTube texts. Philip Benson develops a framework for the analysis of multimodality in the structure of YouTube pages and of the multimodal interactions from which their content emerges. A second, and equally important, objective is to show how the globalization of YouTube is central to much of its discourse. The book identifies translingual practice as a key element in the global discourse of YouTube and discusses its roles in the negotiation of identities and intercultural learning in videos and comments. Focusing on YouTube as a key example of new digital media, The Discourse of YouTube makes a substantial contribution to conversations about new ways of producing multimodal text in a digital world.

Sentic Computing
Sentic Computing

Author: Erik Cambria

Publisher: Springer Science & Business Media

Published: 2012-07-28

Total Pages: 166

ISBN-13: 9400750706

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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.

The Handbook of Multimodal-Multisensor Interfaces, Volume 2
The Handbook of Multimodal-Multisensor Interfaces, Volume 2

Author: Sharon Oviatt

Publisher: Morgan & Claypool

Published: 2018-10-08

Total Pages: 541

ISBN-13: 1970001690

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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, hand and body gestures, facial expressions, writing) embedded in multimodal-multisensor interfaces that often include biosignals. 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 second volume of the handbook begins with multimodal signal processing, architectures, and machine learning. It includes recent deep learning approaches for processing multisensorial and multimodal user data and interaction, as well as context-sensitivity. A further highlight is processing of information about users' states and traits, an exciting emerging capability in next-generation user interfaces. These chapters discuss real-time multimodal analysis of emotion and social signals from various modalities, and perception of affective expression by users. Further chapters discuss multimodal processing of cognitive state using behavioral and physiological signals to detect cognitive load, domain expertise, deception, and depression. This collection of chapters provides 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 rapidly expanding field. In the final section of this volume, experts exchange views on the timely and controversial challenge topic of multimodal deep learning. The discussion focuses on how multimodal-multisensor interfaces are most likely to advance human performance during the next decade.

Fuzzy Systems and Data Mining IV
Fuzzy Systems and Data Mining IV

Author: A.J. Tallón-Ballesteros

Publisher: IOS Press

Published: 2018-11-06

Total Pages: 990

ISBN-13: 1614999279

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Big Data Analytics is on the rise in the last years of the current decade. Data are overwhelming the computation capacity of high performance servers. Cloud, grid, edge and fog computing are a few examples of the current hype. Computational Intelligence offers two faces to deal with the development of models: on the one hand, the crisp approach, which considers for every variable an exact value and, on the other hand, the fuzzy focus, which copes with values between two boundaries. This book presents 114 papers from the 4th International Conference on Fuzzy Systems and Data Mining (FSDM 2018), held in Bangkok, Thailand, from 16 to 19 November 2018. All papers were carefully reviewed by program committee members, who took into consideration the breadth and depth of the research topics that fall within the scope of FSDM. The acceptance rate was 32.85% . Offering a state-of-the-art overview of fuzzy systems and data mining, the publication will be of interest to all those whose work involves data science.

Advanced Data Mining Tools and Methods for Social Computing
Advanced Data Mining Tools and Methods for Social Computing

Author: Sourav De

Publisher: Academic Press

Published: 2022-01-14

Total Pages: 294

ISBN-13: 0323857094

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Advanced Data Mining Tools and Methods for Social Computing explores advances in the latest data mining tools, methods, algorithms and the architectures being developed specifically for social computing and social network analysis. The book reviews major emerging trends in technology that are supporting current advancements in social networks, including data mining techniques and tools. It also aims to highlight the advancement of conventional approaches in the field of social networking. Chapter coverage includes reviews of novel techniques and state-of-the-art advances in the area of data mining, machine learning, soft computing techniques, and their applications in the field of social network analysis. - Provides insights into the latest research trends in social network analysis - Covers a broad range of data mining tools and methods for social computing and analysis - Includes practical examples and case studies across a range of tools and methods - Features coding examples and supplementary data sets in every chapter

Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines
Research Anthology on Implementing Sentiment Analysis Across Multiple Disciplines

Author: Management Association, Information Resources

Publisher: IGI Global

Published: 2022-06-10

Total Pages: 1980

ISBN-13: 1668463040

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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.

Cross-Cultural Design. Experience and Product Design Across Cultures
Cross-Cultural Design. Experience and Product Design Across Cultures

Author: Pei-Luen Patrick Rau

Publisher: Springer Nature

Published: 2021-07-03

Total Pages: 584

ISBN-13: 3030770745

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The three-volume set LNCS 12771-12773 constitutes the refereed proceedings of the 13th International Conference on Cross-Cultural Design, CCD 2021, which was held as part of HCI International 2021 and took place virtually during July 24-29, 2021. The total of 1276 papers and 241 posters included in the 39 HCII 2021 proceedings volumes was carefully reviewed and selected from 5222 submissions. The papers included in the HCII-CCD volume set were organized in topical sections as follows: Part I: Cross-cultural experience design; cross-cultural product design; cultural differences and cross-cultural communication; Part II: Culture, arts and creativity; culture, learning and well-being; social change and social development; Part III: CCD in cultural heritage and tourism; CCD in autonomous vehicles and driving; CCD in virtual agents, robots and intelligent assistants.

Multimodal Analytics for Next-Generation Big Data Technologies and Applications
Multimodal Analytics for Next-Generation Big Data Technologies and Applications

Author: Kah Phooi Seng

Publisher: Springer

Published: 2019-07-18

Total Pages: 391

ISBN-13: 3319975986

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This edited book will serve as a source of reference for technologies and applications for multimodality data analytics in big data environments. After an introduction, the editors organize the book into four main parts on sentiment, affect and emotion analytics for big multimodal data; unsupervised learning strategies for big multimodal data; supervised learning strategies for big multimodal data; and multimodal big data processing and applications. The book will be of value to researchers, professionals and students in engineering and computer science, particularly those engaged with image and speech processing, multimodal information processing, data science, and artificial intelligence.