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LGBE-MSA: Language-Guided Bidirectional Encoder for Multimodal Sentiment Analysis

https://doi.org/10.2139/ssrn.6486772
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Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/s10489-024-05623-7openalex-snapshot
A transformer-encoder-based multimodal multi-attention fusion network for sentiment analysis
inferredcites →https://doi.org/10.1016/j.cviu.2012.10.009openalex-snapshot
Multimodal recognition of visual concepts using histograms of textual concepts and selective weighted late fusion scheme
inferredcites →https://doi.org/10.1016/j.inffus.2018.06.004openalex-snapshot
EARS: Emotion-aware recommender system based on hybrid information fusion
inferredcites →https://doi.org/10.1016/j.neucom.2015.01.095openalex-snapshot
Fusing audio, visual and textual clues for sentiment analysis from multimodal content
inferredcites →https://doi.org/10.1109/mis.2016.94openalex-snapshot
Multimodal Sentiment Intensity Analysis in Videos: Facial Gestures and Verbal Messages
inferredcites →https://doi.org/10.1109/tcss.2022.3154442openalex-snapshot
Ensemble Hybrid Learning Methods for Automated Depression Detection
inferredcites →https://doi.org/10.1109/tkde.2020.3028422openalex-snapshot
Joint Representation Learning and Clustering: A Framework for Grouping Partial Multiview Data
inferredcites →https://doi.org/10.1109/tmm.2020.3035277openalex-snapshot
Image-Text Multimodal Emotion Classification via Multi-View Attentional Network
inferredcites →https://doi.org/10.1145/2993148.2993176openalex-snapshot
Deep multimodal fusion for persuasiveness prediction
inferredcites →https://doi.org/10.1145/3394171.3413678openalex-snapshot
MISA
inferredcites →https://doi.org/10.1145/3503161.3547754openalex-snapshot
Disentangled Representation Learning for Multimodal Emotion Recognition
inferredcites →https://doi.org/10.1609/aaai.v33i01.3301371openalex-snapshot
Multi-Interactive Memory Network for Aspect Based Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1609/aaai.v35i12.17289openalex-snapshot
Learning Modality-Specific Representations with Self-Supervised Multi-Task Learning for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1609/aaai.v36i8.20895openalex-snapshot
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition
inferredcites →https://doi.org/10.1609/aaai.v39i2.32152openalex-snapshot
Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.214openalex-snapshot
Integrating Multimodal Information in Large Pretrained Transformers
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.421openalex-snapshot
ConFEDE: Contrastive Feature Decomposition for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.49openalex-snapshot
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/2023.emnlp-main.561openalex-snapshot
M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/2024.emnlp-main.207openalex-snapshot
D2R: Dual-Branch Dynamic Routing Network for Multimodal Sentiment Detection
inferredcites →https://doi.org/10.18653/v1/d17-1115openalex-snapshot
Tensor Fusion Network for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.18653/v1/p18-1208openalex-snapshot
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
inferredcites →https://doi.org/10.25080/majora-7b98e3ed-003openalex-snapshot
librosa: Audio and Music Signal Analysis in Python
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.