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Multimodal Sentiment Analysis

Multimodal Sentiment Analysis - Socio-Affective Computing

Paperback (28 Dec 2018)

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Publisher's Synopsis

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.

Book information

ISBN: 9783030069568
Publisher: Springer International Publishing
Imprint: Springer
Pub date:
Language: English
Number of pages: 214
Weight: 480g
Height: 235mm
Width: 155mm