Multimodal Sentiment Analysis

Multimodal Sentiment Analysis

Hussain, Amir; Cambria, Erik; Poria, Soujanya

Springer International Publishing AG

11/2018

214

Dura

Inglês

9783319950181

15 a 20 dias

593

Descrição não disponível.
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.
Audiovisual;Multimodal;Multimodal Fusion;SVM;Sentiment Analysis