Multimodal Sentiment Analysis in Real-life Videos

Multimodal Sentiment Analysis in Real-life Videos

Author: Lukas Bernd Stappen

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ISBN: OCLC:1352881802

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Multimodal Sentiment Analysis in Real-life Videos
Language: en
Pages: 0
Authors: Lukas Bernd Stappen
Categories:
Type: BOOK - Published: 2021 - Publisher:

Books about Multimodal Sentiment Analysis in Real-life Videos
Multimodal Sentiment Analysis
Language: en
Pages: 214
Authors: Soujanya Poria, Amir Hussain, Erik Cambria
Categories: Medical
Type: BOOK - Published: 2018-10-24 - Publisher: Springer

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
Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge
Language: en
Pages: 0
Authors: Soujanya Poria, Amir Hussain, Erik Cambria
Categories: Medical
Type: BOOK - Published: 2022 - Publisher:

Books about Proceedings of the 3rd International on Multimodal Sentiment Analysis Workshop and Challenge
MuSe '22
Language: en
Pages: 0
Authors: Shahin Amiriparian
Categories: Artificial intelligence
Type: BOOK - Published: 2022 - Publisher:

Books about MuSe '22
Visual and Text Sentiment Analysis through Hierarchical Deep Learning Networks
Language: en
Pages: 98
Authors: Arindam Chaudhuri
Categories: Computers
Type: BOOK - Published: 2019-04-06 - Publisher: Springer

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