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A Multimodal Semantic Fusion Network with Cross-Modal Alignment for Multimodal Sentiment Analysis
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-319-27674-8_2openalex-snapshot
Sentiment Analysis on Multi-View Social Data
inferredcites →https://doi.org/10.1007/s10489-021-02936-9openalex-snapshot
Image-text interaction graph neural network for image-text sentiment analysis
inferredcites →https://doi.org/10.1007/s10489-023-05151-wopenalex-snapshot
A graph convolution-based heterogeneous fusion network for multimodal sentiment analysis
inferredcites →https://doi.org/10.1007/s12559-022-10043-1openalex-snapshot
Automatically Constructing a Fine-Grained Sentiment Lexicon for Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.asoc.2022.109251openalex-snapshot
Gated tree-structured RecurNN for Detecting Biomedical Event Trigger
inferredcites →https://doi.org/10.1016/j.cosrev.2020.100336openalex-snapshot
Comparative analysis on cross-modal information retrieval: A review
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.engappai.2023.107335openalex-snapshot
A feature-based restoration dynamic interaction network for multimodal sentiment analysis
inferredcites →https://doi.org/10.1016/j.eswa.2011.11.107openalex-snapshot
Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviews
inferredcites →https://doi.org/10.1016/j.eswa.2012.07.059openalex-snapshot
Document-level sentiment classification: An empirical comparison between SVM and ANN
inferredcites →https://doi.org/10.1016/j.eswa.2022.119240openalex-snapshot
Heterogeneous graph convolution based on In-domain Self-supervision for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1016/j.eswa.2023.122731openalex-snapshot
A multimodal fusion network with attention mechanisms for visual–textual sentiment analysis
inferredcites →https://doi.org/10.1016/j.future.2020.07.022openalex-snapshot
Attention-based sentiment analysis using convolutional and recurrent neural network
inferredcites →https://doi.org/10.1016/j.inffus.2022.09.025openalex-snapshot
Multimodal sentiment analysis: A systematic review of history, datasets, multimodal fusion methods, applications, challenges and future directions
inferredcites →https://doi.org/10.1016/j.ipm.2022.103193openalex-snapshot
Joint multimodal sentiment analysis based on information relevance
inferredcites →https://doi.org/10.1016/j.jretconser.2022.103011openalex-snapshot
Emotional and the normative aspects of customers’ reviews
inferredcites →https://doi.org/10.1016/j.knosys.2019.01.019openalex-snapshot
Image–text sentiment analysis via deep multimodal attentive fusion
inferredcites →https://doi.org/10.1016/j.knosys.2021.107018openalex-snapshot
Fuzzy logic applied to opinion mining: A review
inferredcites →https://doi.org/10.1016/j.knosys.2021.108107openalex-snapshot
Gated attention fusion network for multimodal sentiment classification
inferredcites →https://doi.org/10.1016/j.knosys.2023.110502openalex-snapshot
TeFNA: Text-centered fusion network with crossmodal attention for multimodal sentiment analysis
inferredcites →https://doi.org/10.1016/j.knosys.2023.111346openalex-snapshot
TMBL: Transformer-based multimodal binding learning model for multimodal sentiment analysis
inferredcites →https://doi.org/10.1016/j.neucom.2021.10.062openalex-snapshot
Image sentiment classification via multi-level sentiment region correlation analysis
inferredcites →https://doi.org/10.1016/j.patrec.2022.04.004openalex-snapshot
A novel unsupervised ensemble framework using concept-based linguistic methods and machine learning for twitter sentiment analysis
inferredcites →https://doi.org/10.1109/cvpr.2016.90openalex-snapshot
Deep Residual Learning for Image Recognition
inferredcites →https://doi.org/10.1109/cvpr42600.2020.01267openalex-snapshot
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01506openalex-snapshot
Rep ViT: Revisiting Mobile CNN From ViT Perspective
inferredcites →https://doi.org/10.1109/cvpr52733.2024.01683openalex-snapshot
TransNeXt: Robust Foveal Visual Perception for Vision Transformers
inferredcites →https://doi.org/10.1109/iccv.2019.00586openalex-snapshot
CAMP: Cross-Modal Adaptive Message Passing for Text-Image Retrieval
inferredcites →https://doi.org/10.1109/isi.2017.8004895openalex-snapshot
Analyzing multimodal public sentiment based on hierarchical semantic attentional network
inferredcites →https://doi.org/10.1109/taffc.2022.3171091openalex-snapshot
Hierarchical Interactive Multimodal Transformer for Aspect-Based Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1109/tmm.2020.3035277openalex-snapshot
Image-Text Multimodal Emotion Classification via Multi-View Attentional Network
inferredcites →https://doi.org/10.1109/tmm.2022.3160060openalex-snapshot
Multimodal Sentiment Analysis With Image-Text Interaction Network
inferredcites →https://doi.org/10.1109/tnnls.2023.3234427openalex-snapshot
Building Fake Review Detection Model Based on Sentiment Intensity and PU Learning
inferredcites →https://doi.org/10.1109/tnnls.2024.3367940openalex-snapshot
DER-GCN: Dialog and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialog Emotion Recognition
inferredcites →https://doi.org/10.1109/tpami.2021.3094362openalex-snapshot
Affective Image Content Analysis: Two Decades Review and New Perspectives
inferredcites →https://doi.org/10.1145/1873951.1873965openalex-snapshot
Affective image classification using features inspired by psychology and art theory
inferredcites →https://doi.org/10.1145/2502081.2502282openalex-snapshot
Large-scale visual sentiment ontology and detectors using adjective noun pairs
inferredcites →https://doi.org/10.1145/2647868.2654930openalex-snapshot
Exploring Principles-of-Art Features For Image Emotion Recognition
inferredcites →https://doi.org/10.1145/3209978.3210093openalex-snapshot
A Co-Memory Network for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1145/3326335openalex-snapshot
Learning Discriminative Sentiment Representation from Strongly- and Weakly Supervised CNNs
inferredcites →https://doi.org/10.1145/3359753openalex-snapshot
A Hierarchical CNN-RNN Approach for Visual Emotion Classification
inferredcites →https://doi.org/10.1145/3388861openalex-snapshot
Attention-Based Modality-Gated Networks for Image-Text Sentiment Analysis
inferredcites →https://doi.org/10.1145/3499027openalex-snapshot
Cross-modal Graph Matching Network for Image-text Retrieval
inferredcites →https://doi.org/10.1145/3517139openalex-snapshot
A Deep Multi-level Attentive Network for Multimodal Sentiment Analysis
inferredcites →https://doi.org/10.1145/3586075openalex-snapshot
Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges
inferredcites →https://doi.org/10.1145/3593583openalex-snapshot
M3GAT: A Multi-modal, Multi-task Interactive Graph Attention Network for Conversational Sentiment Analysis and Emotion Recognition
inferredcites →https://doi.org/10.1186/s40537-023-00726-3openalex-snapshot
Twitter sentiment analysis using hybrid gated attention recurrent network
inferredcites →https://doi.org/10.18653/v1/2020.acl-main.349openalex-snapshot
Reasoning with Multimodal Sarcastic Tweets via Modeling Cross-Modality Contrast and Semantic Association
inferredcites →https://doi.org/10.18653/v1/2021.naacl-main.146openalex-snapshot
Does syntax matter? A strong baseline for Aspect-based Sentiment Analysis with RoBERTa
inferredcites →https://doi.org/10.18653/v1/2023.acl-long.287openalex-snapshot
Tackling Modality Heterogeneity with Multi-View Calibration Network for Multimodal Sentiment Detection
inferredcites →https://doi.org/10.18653/v1/n19-1423openalex-snapshot
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
inferredcites →https://doi.org/10.18653/v1/p19-1239openalex-snapshot
Multi-Modal Sarcasm Detection in Twitter with Hierarchical Fusion Model
inferredcites →https://doi.org/10.26599/bdma.2020.9020024openalex-snapshot
Multi-attention fusion modeling for sentiment analysis of educational big data
inferredcites →https://doi.org/10.3115/1075178openalex-snapshot
Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - ACL '03
inferredcites →https://doi.org/10.3115/1075218openalex-snapshot
Proceedings of the 38th Annual Meeting on Association for Computational Linguistics - ACL '00
inferredcites →https://doi.org/10.3115/v1/d14-1181openalex-snapshot
Convolutional Neural Networks for Sentence Classification
inferredcites →https://doi.org/10.48550/arxiv.2010.11929openalex-snapshot
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s00607-026-01681-6openalex-snapshot
Multimodal sentiment analysis based on modality-specific information and data augmentation
inferred← citeshttps://doi.org/10.1007/s44163-026-01942-5openalex-snapshot
Multimodal learning attention and cognitive load assessment based on brain-computer interface and AI
inferred← citeshttps://doi.org/10.1007/s44443-025-00447-yopenalex-snapshot
Enhancing multimodal sentiment analysis reliability: SentiGuard+ with Dirichlet evidence and selective prediction
inferred← citeshttps://doi.org/10.1016/j.cosrev.2026.101055openalex-snapshot
From pair extraction to verifiable grounded explanations: A survey of multimodal emotion causality in conversations
inferred← citeshttps://doi.org/10.1016/j.dsp.2026.106402openalex-snapshot
Consistency-aware structural modeling of time-series signals via learnable spectral-image transform
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113517openalex-snapshot
AlignMamba-2: Enhancing multimodal fusion and sentiment analysis with modality-aware Mamba
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.113803openalex-snapshot
Token-level refined region-based framework for multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1016/j.patcog.2026.114436openalex-snapshot
CAMS-AMSS: Causal-aware adaptive masked subnetworks for imbalanced multimodal sentiment analysis
inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582626openalex-snapshot
HERA: Fusing Deliberative Reasoning and Adaptive Hypernetworks for Knowledge-Enhanced Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.1109/iccvw69036.2025.00012openalex-snapshot
Dynamic Temporal Gating Networks for Cross-Modal Valence-Arousal Estimation
inferred← citeshttps://doi.org/10.1145/3829080openalex-snapshot
Personal Behavior-Robust and Interpretable Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.15388/26-infor643openalex-snapshot
Frequency Domain Decoupling and Semantic Filtering Network for Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.3390/app16062952openalex-snapshot
LGCDF: Label-Guided Contrastive Disentanglement Fusion of Sensitive Attribute-Free Representations for Fair Multimodal Sentiment Analysis
inferred← citeshttps://doi.org/10.3390/s25164897openalex-snapshot
EdgeVidCap: A Channel-Spatial Dual-Branch Lightweight Video Captioning Model for IoT Edge Cameras
inferred← citeshttps://doi.org/10.48130/ker-0026-0015openalex-snapshot
GSKA: Generative Semantic Anchoring and Bi-directional Knowledge Alignment for Multimodal Sentiment Analysis
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