Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385574927> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W4385574927 abstract "There are several social media analytics activities that rely heavily on sentiment analysis of user-generated textual information from the internet. Adding pictures and videos to one's social media posts has become common practise among today's internet users as a means of conveying one's point of view and experiences. Large-scale text and visual data sentiment analysis helps extract user feelings about brands or subjects. An intelligent multi-modal sentiment analysis framework is urgently needed to effectively mine information from several modalities in order to keep up with the explosion of massive multimodal data. Previous research mostly dealt on either textual or visual material. By using a convolutional neural network (CNN) to extract features from several modalities, this study aims to provide a novel framework for multi-modal sentiment analysis. To showcase the sophistication of our models, we conduct multi-model sentiment analysis on two publicly accessible datasets, including text, audio, and visual input." @default.
- W4385574927 created "2023-08-05" @default.
- W4385574927 creator A5027267652 @default.
- W4385574927 creator A5033103855 @default.
- W4385574927 creator A5045911130 @default.
- W4385574927 creator A5092596634 @default.
- W4385574927 creator A5092596635 @default.
- W4385574927 creator A5092596636 @default.
- W4385574927 date "2023-05-25" @default.
- W4385574927 modified "2023-09-26" @default.
- W4385574927 title "Intelligent Multimodal Sentiment Analysis Using a CNN-Based Framework" @default.
- W4385574927 cites W1973270182 @default.
- W4385574927 cites W2013326535 @default.
- W4385574927 cites W2017016179 @default.
- W4385574927 cites W2036478976 @default.
- W4385574927 cites W2126792281 @default.
- W4385574927 cites W2402450720 @default.
- W4385574927 cites W2403015048 @default.
- W4385574927 doi "https://doi.org/10.1109/accai58221.2023.10200764" @default.
- W4385574927 hasPublicationYear "2023" @default.
- W4385574927 type Work @default.
- W4385574927 citedByCount "0" @default.
- W4385574927 crossrefType "proceedings-article" @default.
- W4385574927 hasAuthorship W4385574927A5027267652 @default.
- W4385574927 hasAuthorship W4385574927A5033103855 @default.
- W4385574927 hasAuthorship W4385574927A5045911130 @default.
- W4385574927 hasAuthorship W4385574927A5092596634 @default.
- W4385574927 hasAuthorship W4385574927A5092596635 @default.
- W4385574927 hasAuthorship W4385574927A5092596636 @default.
- W4385574927 hasConcept C110875604 @default.
- W4385574927 hasConcept C136764020 @default.
- W4385574927 hasConcept C144024400 @default.
- W4385574927 hasConcept C154945302 @default.
- W4385574927 hasConcept C168725872 @default.
- W4385574927 hasConcept C185592680 @default.
- W4385574927 hasConcept C188027245 @default.
- W4385574927 hasConcept C204321447 @default.
- W4385574927 hasConcept C23123220 @default.
- W4385574927 hasConcept C2522767166 @default.
- W4385574927 hasConcept C2778729106 @default.
- W4385574927 hasConcept C2779903281 @default.
- W4385574927 hasConcept C36289849 @default.
- W4385574927 hasConcept C41008148 @default.
- W4385574927 hasConcept C518677369 @default.
- W4385574927 hasConcept C66402592 @default.
- W4385574927 hasConcept C71139939 @default.
- W4385574927 hasConcept C81363708 @default.
- W4385574927 hasConceptScore W4385574927C110875604 @default.
- W4385574927 hasConceptScore W4385574927C136764020 @default.
- W4385574927 hasConceptScore W4385574927C144024400 @default.
- W4385574927 hasConceptScore W4385574927C154945302 @default.
- W4385574927 hasConceptScore W4385574927C168725872 @default.
- W4385574927 hasConceptScore W4385574927C185592680 @default.
- W4385574927 hasConceptScore W4385574927C188027245 @default.
- W4385574927 hasConceptScore W4385574927C204321447 @default.
- W4385574927 hasConceptScore W4385574927C23123220 @default.
- W4385574927 hasConceptScore W4385574927C2522767166 @default.
- W4385574927 hasConceptScore W4385574927C2778729106 @default.
- W4385574927 hasConceptScore W4385574927C2779903281 @default.
- W4385574927 hasConceptScore W4385574927C36289849 @default.
- W4385574927 hasConceptScore W4385574927C41008148 @default.
- W4385574927 hasConceptScore W4385574927C518677369 @default.
- W4385574927 hasConceptScore W4385574927C66402592 @default.
- W4385574927 hasConceptScore W4385574927C71139939 @default.
- W4385574927 hasConceptScore W4385574927C81363708 @default.
- W4385574927 hasLocation W43855749271 @default.
- W4385574927 hasOpenAccess W4385574927 @default.
- W4385574927 hasPrimaryLocation W43855749271 @default.
- W4385574927 hasRelatedWork W1098261954 @default.
- W4385574927 hasRelatedWork W2252197266 @default.
- W4385574927 hasRelatedWork W2472490454 @default.
- W4385574927 hasRelatedWork W2999459970 @default.
- W4385574927 hasRelatedWork W3133816060 @default.
- W4385574927 hasRelatedWork W3148756070 @default.
- W4385574927 hasRelatedWork W4205350312 @default.
- W4385574927 hasRelatedWork W4287903834 @default.
- W4385574927 hasRelatedWork W4312793323 @default.
- W4385574927 hasRelatedWork W4382286084 @default.
- W4385574927 isParatext "false" @default.
- W4385574927 isRetracted "false" @default.
- W4385574927 workType "article" @default.