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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Poria, Soujanya (Συγγραφέας, 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)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2018.
Έκδοση:1st ed. 2018.
Σειρά:Socio-Affective Computing, 8
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.