Multimodal Sentiment Analysis

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...

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Bibliographische Detailangaben
1. Verfasser: Poria, Soujanya (VerfasserIn)
Format: Elektronisch E-Book
Sprache:Englisch
Veröffentlicht: Cham : Springer International Publishing, 2018.
Ausgabe:1st ed. 2018.
Schriftenreihe:Socio-Affective Computing, 8
Schlagworte:
Neurosciences.
Multimedia information systems.
Optical data processing.
Natural language processing (Computer science).
Translation and interpretation.
ISBN:9783319950204
ISSN:2509-5706 ;
Online-Zugang: Volltext
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Inhaltsangabe:
  • 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.

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