4.6 Article

Visual Enhancement Capsule Network for Aspect-based Multimodal Sentiment Analysis

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Computer Science, Information Systems

Cross-modal complementary network with hierarchical fusion for multimodal sentiment classification

Cheng Peng et al.

Summary: This study proposes a method for multimodal sentiment classification using a cross-modal complementary network and hierarchical fusion framework to integrate features from different modalities, which significantly outperforms the state-of-the-art methods.

TSINGHUA SCIENCE AND TECHNOLOGY (2022)

Article Computer Science, Cybernetics

Deep Tensor Evidence Fusion Network for Sentiment Classification

Zhongyang Wang et al.

Summary: This article proposes a novel deep tensor evidence fusion (DTEF) network for multimodal sentiment classification. By extracting rich intermodal and intramodal information, utilizing a time cue evaluation network, and incorporating uncertainty through a trusted fusion layer, the proposed network improves the accuracy and robustness of sentiment classification.

IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2022)

Article Acoustics

The Weighted Cross-Modal Attention Mechanism With Sentiment Prediction Auxiliary Task for Multimodal Sentiment Analysis

Qiupu Chen et al.

Summary: In this paper, the authors propose a weighted cross-modal attention mechanism and introduce unimodal subtasks to explore the complementary relationships among modalities in modeling multimodal sequences. Experimental results show significant performance improvements on the CMU-MOSI and CMU-MOSEI datasets.

IEEE-ACM TRANSACTIONS ON AUDIO SPEECH AND LANGUAGE PROCESSING (2022)

Article Automation & Control Systems

Multimodal Learning of Social Image Representation by Exploiting Social Relations

Feiran Huang et al.

Summary: In this paper, a novel correlational multimodal variational autoencoder (CMVAE) model is proposed for learning representations of social images using a triplet network. The method shows effectiveness in two tasks, outperforming existing methods.

IEEE TRANSACTIONS ON CYBERNETICS (2021)

Article Computer Science, Artificial Intelligence

MASAD: A large-scale dataset for multimodal aspect-based sentiment analysis

Jie Zhou et al.

Summary: Aspect-based sentiment analysis has achieved great success in recent years, however, integrating text and image in multimodal content for sentiment analysis presents challenges and requires further research and improvement in model performance.

NEUROCOMPUTING (2021)

Proceedings Paper Computer Science, Artificial Intelligence

DEEP METRIC NETWORK VIA HETEROGENEOUS SEMANTICS FOR IMAGE SENTIMENT ANALYSIS

Yun Liang et al.

Summary: This paper presents a novel method called a deep metric network via heterogeneous semantics (DMN-HS) for image sentiment analysis, which introduces image captioning to reflect a global impression that cannot be represented by classical visual features. The proposed method designs a network to integrate visual and captioning features, constructs a sentiment latent space based on heterogeneous semantics features, and enables the classification of image sentiments by introducing the center loss concerning relationships between different sentiments, leading to performance improvement confirmed by experimental results.

2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) (2021)

Proceedings Paper Acoustics

CROSS-DOMAIN SEMI-SUPERVISED DEEP METRIC LEARNING FOR IMAGE SENTIMENT ANALYSIS

Yun Liang et al.

Summary: The CDSS-DML method breaks through the limitation of insufficient labeled data in image sentiment analysis by training with unlabeled data based on a teacher-student model, and overcomes the difficulty of distribution shift by jointing three losses to construct an effective latent space considering inter-class and intra-class correlations for image sentiments.

2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021) (2021)

Review Computer Science, Artificial Intelligence

A survey of sentiment analysis in social media

Lin Yue et al.

KNOWLEDGE AND INFORMATION SYSTEMS (2019)

Article Computer Science, Information Systems

Attention based hierarchical LSTM network for context-aware microblog sentiment classification

Shi Feng et al.

WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS (2019)

Article Computer Science, Information Systems

Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion

Asad Abdi et al.

INFORMATION PROCESSING & MANAGEMENT (2019)

Article Computer Science, Artificial Intelligence

Image-text sentiment analysis via deep multimodal attentive fusion

Feiran Huang et al.

KNOWLEDGE-BASED SYSTEMS (2019)

Article Computer Science, Artificial Intelligence

Multi-level region-based Convolutional Neural Network for image emotion classification

Tianrong Rao et al.

NEUROCOMPUTING (2019)

Article Computer Science, Information Systems

Sentiment Classification Using Negative and Intensive Sentiment Supplement Information

Xingming Chen et al.

DATA SCIENCE AND ENGINEERING (2019)

Article Computer Science, Artificial Intelligence

Boosting image sentiment analysis with visual attention

Kaikai Song et al.

NEUROCOMPUTING (2018)

Review Computer Science, Artificial Intelligence

Deep learning for sentiment analysis: A survey

Lei Zhang et al.

WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY (2018)

Article Computer Science, Artificial Intelligence

Multimodal sentiment analysis using hierarchical fusion with context modeling

N. Majumder et al.

KNOWLEDGE-BASED SYSTEMS (2018)

Proceedings Paper Computer Science, Information Systems

A Co-Memory Network for Multimodal Sentiment Analysis

Nan Xu et al.

ACM/SIGIR PROCEEDINGS 2018 (2018)

Article Computer Science, Artificial Intelligence

A survey of multimodal sentiment analysis

Mohammad Soleymani et al.

IMAGE AND VISION COMPUTING (2017)

Proceedings Paper Computer Science, Information Systems

MultiSentiNet: A Deep Semantic Network for Multimodal Sentiment Analysis

Nan Xu et al.

CIKM'17: PROCEEDINGS OF THE 2017 ACM CONFERENCE ON INFORMATION AND KNOWLEDGE MANAGEMENT (2017)

Proceedings Paper Computer Science, Artificial Intelligence

Robust Visual-Textual Sentiment Analysis: When Attention meets Tree-structured Recursive Neural Networks

Quanzeng You et al.

MM'16: PROCEEDINGS OF THE 2016 ACM MULTIMEDIA CONFERENCE (2016)

Proceedings Paper Computer Science, Artificial Intelligence

Cross-modality Consistent Regression for Joint Visual-Textual Sentiment Analysis of Social Multimedia

Quanzeng You et al.

PROCEEDINGS OF THE NINTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING (WSDM'16) (2016)