A multimodal fusion network with attention mechanisms for visual–textual sentiment analysis
Version 2 2024-06-03, 02:10Version 2 2024-06-03, 02:10
Version 1 2023-12-14, 04:54Version 1 2023-12-14, 04:54
journal contribution
posted on 2024-06-03, 02:10 authored by C Gan, X Fu, Q Feng, Q Zhu, Yang CaoYang Cao, Ye ZhuYe ZhuA multimodal fusion network with attention mechanisms for visual–textual sentiment analysis
History
Journal
Expert Systems With ApplicationsVolume
242Article number
122731Pagination
1-12Location
Amsterdam, The NetherlandsPublisher DOI
ISSN
0957-4174eISSN
1873-6793Language
engPublication classification
C1 Refereed article in a scholarly journalPublisher
ElsevierPublication URL
Usage metrics
Keywords
Science & TechnologyTechnologyComputer Science, Artificial IntelligenceEngineering, Electrical & ElectronicOperations Research & Management ScienceComputer ScienceEngineeringVisual-textual sentiment analysisFine-grained correlationMultimodal fusionSelf-attentionMulti-head attentionCLASSIFICATIONLSTMRECOGNITION
Licence
Exports
RefWorksRefWorks
BibTeXBibTeX
Ref. managerRef. manager
EndnoteEndnote
DataCiteDataCite
NLMNLM
DCDC