Multimodal Sentiment Analysis

• Main Authors: Poria, Soujanya (Author, http://id.loc.gov/vocabulary/relators/aut), Hussain, Amir (http://id.loc.gov/vocabulary/relators/aut), Cambria, Erik (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
• Edition: 1st ed. 2018.
• Series: Socio-Affective Computing, 8
• Subjects: Neurosciences.; Multimedia information systems.; Optical data processing.; Natural language processing (Computer science).; Translation and interpretation.; Multimedia Information Systems.; Image Processing and Computer Vision.; Natural Language Processing (NLP).; Translation.

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...

Table of Contents:

• Preface
• Introduction and Motivation
• Background
• Literature Survey and Datasets
• Concept Extraction from Natural Text for Concept Level Text Analysis
• EmoSenticSpace: Dense concept-based affective features with common-sense knowledge
• Sentic Patterns: Sentiment Data Flow Analysis by Means of Dynamic Linguistic Patterns
• Combining Textual Clues with Audio-Visual Information for Multimodal Sentiment Analysis
• Conclusion and Future Work
• Index.