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Multi-level Multiple Attentions for Contextual Multimodal Sentiment Analysis

https://doi.org/10.1109/icdm.2017.134

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Outgoing claims: the papers this work cites, builds on, or argues with.

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A review of affective computing: From unimodal analysis to multimodal fusion

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Learning Spatiotemporal Features with 3D Convolutional Networks

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Convolutional MKL Based Multimodal Emotion Recognition and Sentiment Analysis

inferredcites →https://doi.org/10.1109/mis.2016.31openalex-snapshot

Affective Computing and Sentiment Analysis

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/10.18653/v1/d15-1303openalex-snapshot

Deep Convolutional Neural Network Textual Features and Multiple Kernel Learning for Utterance-level Multimodal Sentiment Analysis

inferredcites →https://doi.org/10.18653/v1/d16-1021openalex-snapshot

Aspect Level Sentiment Classification with Deep Memory Network

inferredcites →https://doi.org/10.18653/v1/d17-1115openalex-snapshot

Tensor Fusion Network for Multimodal Sentiment Analysis

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Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification

inferredcites →https://doi.org/10.18653/v1/p17-1081openalex-snapshot

Context-Dependent Sentiment Analysis in User-Generated Videos

inferredcites →https://doi.org/10.48550/arxiv.1301.3781openalex-snapshot

Efficient Estimation of Word Representations in Vector Space

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Reasoning about Entailment with Neural Attention

inferredcites →https://doi.org/10.48550/arxiv.1708.02709openalex-snapshot

Recent Trends in Deep Learning Based Natural Language Processing

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Table of contents

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Multi-graph Convolutional Network for Unsupervised 3D Shape Retrieval

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MMFN

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Socializing the Videos: A Multimodal Approach for Social Relation Recognition

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Multi-Head Attention with Disagreement Regularization for Multimodal Sentiment Analysis

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Combining Vision and Language Representations for Patch-based Identification of Lexico-Semantic Relations

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Two-stage Attention-based Fusion Neural Network for Image-Text Sentiment Classification

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Hybrid Multimodal Fusion for Humor Detection

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AMSA: Adaptive Multimodal Learning for Sentiment Analysis

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Multimodal Sentiment Analysis: A Survey of Methods, Trends, and Challenges

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IIMH: Intention Identification In Multimodal Human Utterances

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AttX: Attentive Cross-Connections for Fusion of Wearable Signals in Emotion Recognition

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CT 2 C-QA: Multimodal Question Answering over Chinese Text, Table and Chart

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From Feature Alignment to Multimodal Fusion: A Two-Stage Primary Modality-Guided Approach for MSA

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An Efficient Emotion Recognition Model Using Bald Hawk Optimization Based on Deep Learning

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IDC: quantitative evaluation benchmark of interpretation methods for deep text classification models

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AFR-BERT: Attention-based mechanism feature relevance fusion multimodal sentiment analysis model

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Humor Knowledge Enriched Transformer for Understanding Multimodal Humor

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Exercise? I thought you said 'Extra Fries’: Leveraging Sentence Demarcations and Multi-hop Attention for Meme Affect Analysis

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CH-SIMS: A Chinese Multimodal Sentiment Analysis Dataset with Fine-grained Annotation of Modality

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Towards Emotion-aided Multi-modal Dialogue Act Classification

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SWAFN: Sentimental Words Aware Fusion Network for Multimodal Sentiment Analysis

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UniMSE: Towards Unified Multimodal Sentiment Analysis and Emotion Recognition

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Layer-wise Fusion with Modality Independence Modeling for Multi-modal Emotion Recognition

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Hierarchical Fusion for Online Multimodal Dialog Act Classification

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Contextual Inter-modal Attention for Multi-modal Sentiment Analysis

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UR-FUNNY: A Multimodal Language Dataset for Understanding Humor

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Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

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Modeling Inter-Aspect Dependencies for Aspect-Based Sentiment Analysis

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Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing

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Proceedings of Grand Challenge and Workshop on Human Multimodal Language (Challenge-HML)

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Convolutional Attention Networks for Multimodal Emotion Recognition from Speech and Text Data

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Proceedings of the 13th International Conference on Computational Semantics - Long Papers

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Language-Agnostic Model for Aspect-Based Sentiment Analysis

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Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP-2019)

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Modality-based Factorization for Multimodal Fusion

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Fine-grained Multimodal Sentiment Analysis Based on Gating and Attention Mechanism

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Multi-view image-text emotion analysis network

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Bmman: A Bi-Directional Masked Multimodal Attention Network for Enhanced Image-Text Sentiment Analysis

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Conversational Emotion Analysis via Attention Mechanisms

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Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks

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Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition

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A Survey of the Application of Social Media Mining

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Analysis of relationships between tweets and stock market trends

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Mutual information maximization and feature space separation and bi-bimodal mo-dality fusion for multimodal sentiment analysis

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Enhancing Multimodal Emotion Recognition through Attention Mechanisms in BERT and CNN Architectures

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CMDAF: Cross-Modality Dual-Attention Fusion Network for Multimodal Sentiment Analysis

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A Survey of Deep Learning-Based Multimodal Emotion Recognition: Speech, Text, and Face

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Heterogeneous Hierarchical Fusion Network for Multimodal Sentiment Analysis in Real-World Environments

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Mitigating Context Bias in Vision–Language Models via Multimodal Emotion Recognition

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Predicting Activity in Brain Areas Associated with Emotion Processing Using Multimodal Behavioral Signals

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Multimodal Emotion Detection via Attention-Based Fusion of Extracted Facial and Speech Features

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Modelado e implementación de algoritmos inteligentes de análisis de opinión

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Semantic-Driven Crossmodal Fusion for Multimodal Sentiment Analysis

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PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition

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The Verbal and Non Verbal Signals of Depression -- Combining Acoustics, Text and Visuals for Estimating Depression Level

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Complementary Fusion of Multi-Features and Multi-Modalities in Sentiment Analysis

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Integrating Multimodal Information in Large Pretrained Transformers

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MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

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PAM:Point-wise Attention Module for 6D Object Pose Estimation

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Cross-Modal Knowledge Transfer via Inter-Modal Translation and Alignment for Affect Recognition

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A Multi-modal Feature Fusion-based Approach for Mobile Application Classification and Recommendation

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Multimodal Sentiment and Emotion Detection in Social Media: Methods, Modalities, and Application Perspectives

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Speech-based affective computing using attention with multimodal fusion

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