| 書目名稱 | Multimodal Sentiment Analysis |
| 編輯 | Soujanya Poria,Amir Hussain,Erik Cambria |
| 視頻video | http://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 |  |
| 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 |
| 關鍵詞 | Audiovisual; Multimodal; Multimodal Fusion; SVM; Sentiment Analysis |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-319-95020-4 |
| isbn_softcover | 978-3-030-06956-8 |
| isbn_ebook | 978-3-319-95020-4Series ISSN 2509-5706 Series E-ISSN 2509-5714 |
| issn_series | 2509-5706 |
| copyright | Springer International Publishing AG, part of Springer Nature 2018 |
|Archiver|手機版|小黑屋|
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