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Titlebook: Multimodal Sentiment Analysis; Soujanya Poria,Amir Hussain,Erik Cambria Book 2018 Springer International Publishing AG, part of Springer N

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書目名稱Multimodal Sentiment Analysis
編輯Soujanya Poria,Amir Hussain,Erik Cambria
視頻videohttp://file.papertrans.cn/641/640759/640759.mp4
概述Broadens understanding of multimodal sentiment analysis.Presents a summary of the relevant state of the art.Contains key visualizations
叢書名稱Socio-Affective Computing
圖書封面Titlebook: Multimodal Sentiment Analysis;  Soujanya Poria,Amir Hussain,Erik Cambria Book 2018 Springer International Publishing AG, part of Springer N
描述.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.
出版日期Book 2018
關(guān)鍵詞Audiovisual; Multimodal; Multimodal Fusion; SVM; Sentiment Analysis
版次1
doihttps://doi.org/10.1007/978-3-319-95020-4
isbn_softcover978-3-030-06956-8
isbn_ebook978-3-319-95020-4Series ISSN 2509-5706 Series E-ISSN 2509-5714
issn_series 2509-5706
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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Book 2018able 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.
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Multimodal Sentiment Analysis978-3-319-95020-4Series ISSN 2509-5706 Series E-ISSN 2509-5714
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Soujanya Poria,Amir Hussain,Erik CambriaBroadens understanding of multimodal sentiment analysis.Presents a summary of the relevant state of the art.Contains key visualizations
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