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Multi-Modal Sentiment Analysis

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Release : 2023-11-26
Genre : Technology & Engineering
Kind : eBook
Book Rating : 761/5 ( reviews)

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Book Synopsis Multi-Modal Sentiment Analysis by : Hua Xu

Download or read book Multi-Modal Sentiment Analysis written by Hua Xu. This book was released on 2023-11-26. 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.

Multimodal Sentiment Analysis

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Release : 2018-10-24
Genre : Medical
Kind : eBook
Book Rating : 207/5 ( reviews)

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Book Synopsis Multimodal Sentiment Analysis by : Soujanya Poria

Download or read book Multimodal Sentiment Analysis written by Soujanya Poria. This book was released on 2018-10-24. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Author :
Release : 2018
Genre : COMPUTERS
Kind : eBook
Book Rating : 198/5 ( reviews)

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Book Synopsis Multimodal Sentiment Analysis by : Soujanya Poria

Download or read book Multimodal Sentiment Analysis written by Soujanya Poria. This book was released on 2018. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Multimodal Sentiment Analysis in Real-life Videos

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Author :
Release : 2021
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Multimodal Sentiment Analysis in Real-life Videos by : Lukas Bernd Stappen

Download or read book Multimodal Sentiment Analysis in Real-life Videos written by Lukas Bernd Stappen. This book was released on 2021. Available in PDF, EPUB and Kindle. Book excerpt:

Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks

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Release : 2019-04-06
Genre : Computers
Kind : eBook
Book Rating : 740/5 ( reviews)

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Book Synopsis Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks by : Arindam Chaudhuri

Download or read book Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks written by Arindam Chaudhuri. This book was released on 2019-04-06. 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.

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