Search Results for: Multimodal Sentiment Analysis
Multimodal Sentiment Analysis in Real-life Videos
Author: Lukas Bernd Stappen
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ISBN: OCLC:1352881802
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Books about Multimodal Sentiment Analysis in Real-life Videos
Language: en
Pages: 214
Pages: 214
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
Language: en
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Books about Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge
Language: en
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Language: en
Pages: 98
Pages: 98
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