Multi Modal Sentiment Analysis

Author : Hua Xu
Publisher : Springer Nature
Page : 278 pages
File Size : 44,5 Mb
Release : 2023-11-26
Category : Technology & Engineering
ISBN : 9789819957767

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Multi-Modal Sentiment Analysis by Hua Xu Pdf

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.

Author : Soujanya Poria,Amir Hussain,Erik Cambria
Publisher : Springer
Page : 214 pages
File Size : 52,7 Mb
Release : 2018-10-24
Category : Medical
ISBN : 9783319950204

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Multimodal Sentiment Analysis by Soujanya Poria,Amir Hussain,Erik Cambria Pdf

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.

Author : Soujanya Poria,Amir Hussain,Erik Cambria
Publisher : Unknown
Page : 214 pages
File Size : 45,8 Mb
Release : 2018
Category : COMPUTERS
ISBN : 3319950193

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Multimodal Sentiment Analysis by Soujanya Poria,Amir Hussain,Erik Cambria Pdf

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.

Author : Hua Xu
Publisher : Springer
Page : 0 pages
File Size : 53,8 Mb
Release : 2023-11-26
Category : Technology & Engineering
ISBN : 9819957753

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Multi-Modal Sentiment Analysis by Hua Xu Pdf

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.

Author : Arindam Chaudhuri
Publisher : Springer
Page : 98 pages
File Size : 47,5 Mb
Release : 2019-04-06
Category : Computers
ISBN : 9789811374746

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Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks by Arindam Chaudhuri Pdf

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.

Author : Erik Cambria,Amir Hussain
Publisher : Springer Science & Business Media
Page : 153 pages
File Size : 40,7 Mb
Release : 2012-07-28
Category : Medical
ISBN : 9789400750708

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Sentic Computing by Erik Cambria,Amir Hussain Pdf

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.

Author : Pradeep Kumar Singh,Yashwant Singh,Maheshkumar H. Kolekar,Arpan Kumar Kar,Jitender Kumar Chhabra,Abhijit Sen
Publisher : Springer Nature
Page : 846 pages
File Size : 53,5 Mb
Release : 2021-01-12
Category : Technology & Engineering
ISBN : 9789811582974

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Recent Innovations in Computing by Pradeep Kumar Singh,Yashwant Singh,Maheshkumar H. Kolekar,Arpan Kumar Kar,Jitender Kumar Chhabra,Abhijit Sen Pdf

This book features selected papers presented at the 3rd International Conference on Recent Innovations in Computing (ICRIC 2020), held on 20–21 March 2020 at the Central University of Jammu, India, and organized by the university’s Department of Computer Science & Information Technology. It includes the latest research in the areas of software engineering, cloud computing, computer networks and Internet technologies, artificial intelligence, information security, database and distributed computing, and digital India.

Author : Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao
Publisher : Springer
Page : 391 pages
File Size : 55,6 Mb
Release : 2019-07-18
Category : Computers
ISBN : 9783319975986

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Multimodal Analytics for Next-Generation Big Data Technologies and Applications by Kah Phooi Seng,Li-minn Ang,Alan Wee-Chung Liew,Junbin Gao Pdf

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.

Author : Xavier Alameda-Pineda,Elisa Ricci,Nicu Sebe
Publisher : Academic Press
Page : 498 pages
File Size : 52,8 Mb
Release : 2018-11-13
Category : Computers
ISBN : 9780128146026

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Multimodal Behavior Analysis in the Wild by Xavier Alameda-Pineda,Elisa Ricci,Nicu Sebe Pdf

Multimodal Behavioral Analysis in the Wild: Advances and Challenges presents the state-of- the-art in behavioral signal processing using different data modalities, with a special focus on identifying the strengths and limitations of current technologies. The book focuses on audio and video modalities, while also emphasizing emerging modalities, such as accelerometer or proximity data. It covers tasks at different levels of complexity, from low level (speaker detection, sensorimotor links, source separation), through middle level (conversational group detection, addresser and addressee identification), and high level (personality and emotion recognition), providing insights on how to exploit inter-level and intra-level links. This is a valuable resource on the state-of-the- art and future research challenges of multi-modal behavioral analysis in the wild. It is suitable for researchers and graduate students in the fields of computer vision, audio processing, pattern recognition, machine learning and social signal processing. Gives a comprehensive collection of information on the state-of-the-art, limitations, and challenges associated with extracting behavioral cues from real-world scenarios Presents numerous applications on how different behavioral cues have been successfully extracted from different data sources Provides a wide variety of methodologies used to extract behavioral cues from multi-modal data

Author : 張鑫揚
Publisher : Unknown
Page : 0 pages
File Size : 47,6 Mb
Release : 2023
Category : Electronic
ISBN : OCLC:1418733330

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Self-supervised Guided Modality Disentangled Representation Learning for Multimodal Sentiment Analysis and Schizophrenia Assessment by 張鑫揚 Pdf

Author : Philip J. Stone,Dexter C. Dunphy,Marshall S. Smith,Daniel M. Ogilvie
Publisher : Unknown
Page : 704 pages
File Size : 43,5 Mb
Release : 1966-12-15
Category : Electronic
ISBN : 026269011X

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General Inquirer by Philip J. Stone,Dexter C. Dunphy,Marshall S. Smith,Daniel M. Ogilvie Pdf

Author : Rajest, S. Suman,Singh, Bhopendra,J. Obaid, Ahmed,Regin, R.,Chinnusamy, Karthikeyan
Publisher : IGI Global
Page : 383 pages
File Size : 45,5 Mb
Release : 2023-09-11
Category : Computers
ISBN : 9781668491911

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Recent Developments in Machine and Human Intelligence by Rajest, S. Suman,Singh, Bhopendra,J. Obaid, Ahmed,Regin, R.,Chinnusamy, Karthikeyan Pdf

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.

Author : James G. Shanahan,Yan Qu,Janyce Wiebe
Publisher : Springer Science & Business Media
Page : 346 pages
File Size : 55,7 Mb
Release : 2006-01-17
Category : Computers
ISBN : 9781402041020

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Computing Attitude and Affect in Text: Theory and Applications by James G. Shanahan,Yan Qu,Janyce Wiebe Pdf

Human Language Technology (HLT) and Natural Language Processing (NLP) systems have typically focused on the “factual” aspect of content analysis. Other aspects, including pragmatics, opinion, and style, have received much less attention. However, to achieve an adequate understanding of a text, these aspects cannot be ignored. The chapters in this book address the aspect of subjective opinion, which includes identifying different points of view, identifying different emotive dimensions, and classifying text by opinion. Various conceptual models and computational methods are presented. The models explored in this book include the following: distinguishing attitudes from simple factual assertions; distinguishing between the author’s reports from reports of other people’s opinions; and distinguishing between explicitly and implicitly stated attitudes. In addition, many applications are described that promise to benefit from the ability to understand attitudes and affect, including indexing and retrieval of documents by opinion; automatic question answering about opinions; analysis of sentiment in the media and in discussion groups about consumer products, political issues, etc. ; brand and reputation management; discovering and predicting consumer and voting trends; analyzing client discourse in therapy and counseling; determining relations between scientific texts by finding reasons for citations; generating more appropriate texts and making agents more believable; and creating writers’ aids. The studies reported here are carried out on different languages such as English, French, Japanese, and Portuguese. Difficult challenges remain, however. It can be argued that analyzing attitude and affect in text is an “NLP”-complete problem.

Author : Jason Merchant
Publisher : Unknown
Page : 288 pages
File Size : 48,8 Mb
Release : 2001
Category : Extraction (Linguistics).
ISBN : 0199243735

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The Syntax of Silence by Jason Merchant Pdf

A primary goal of contemporary theoretical linguistics is to develop a theory of the correspondence between sound (or gesture) and meaning. This sound-meaning correspondence breaks down completely in the case of ellipsis, and yet various forms of ellipsis are pervasive in natural language:words and phrases which should be in the linguistic signal go missing. How this should be possible is the focus of Jason Merchant's investigation. He focuses on the form of ellipsis known as sluicing, a common feature of interrogative clauses, such as in 'Sally's out hunting - guess what!'; and'Someone called, but I can't tell you who'. It is the most frequently found cross-linguistic form of ellipsis. Dr Merchant studies the phenomenon across twenty-four languages, and attempts to explain it in linguistic and behavioural terms.

Author : Chi Hau Chen,Louis-francois Pau,Patrick S P Wang
Publisher : World Scientific
Page : 1045 pages
File Size : 44,6 Mb
Release : 1999-03-12
Category : Computers
ISBN : 9789814497640

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Handbook Of Pattern Recognition And Computer Vision (2nd Edition) by Chi Hau Chen,Louis-francois Pau,Patrick S P Wang Pdf

The very significant advances in computer vision and pattern recognition and their applications in the last few years reflect the strong and growing interest in the field as well as the many opportunities and challenges it offers. The second edition of this handbook represents both the latest progress and updated knowledge in this dynamic field. The applications and technological issues are particularly emphasized in this edition to reflect the wide applicability of the field in many practical problems. To keep the book in a single volume, it is not possible to retain all chapters of the first edition. However, the chapters of both editions are well written for permanent reference. This indispensable handbook will continue to serve as an authoritative and comprehensive guide in the field.