Multimodal sentimental analysis for social media applications: A comprehensive review

G Chandrasekaran, TN Nguyen… - … Reviews: Data Mining …, 2021 - Wiley Online Library
The analysis of sentiments is essential in identifying and classifying opinions regarding a
source material that is, a product or service. The analysis of these sentiments finds a variety …

Large language models meet text-centric multimodal sentiment analysis: A survey

H Yang, Y Zhao, Y Wu, S Wang, T Zheng… - arxiv preprint arxiv …, 2024 - arxiv.org
Compared to traditional sentiment analysis, which only considers text, multimodal sentiment
analysis needs to consider emotional signals from multimodal sources simultaneously and …

KnowleNet: Knowledge fusion network for multimodal sarcasm detection

T Yue, R Mao, H Wang, Z Hu, E Cambria - Information Fusion, 2023 - Elsevier
Sarcasm is a form of communication often used to express contempt or ridicule, where the
speaker conveys a message opposite to their true meaning, typically intending to mock or …

Multi-modal sarcasm detection via cross-modal graph convolutional network

B Liang, C Lou, X Li, M Yang, L Gui, Y He… - Proceedings of the …, 2022 - aclanthology.org
With the increasing popularity of posting multimodal messages online, many recent studies
have been carried out utilizing both textual and visual information for multi-modal sarcasm …

Dip: Dual incongruity perceiving network for sarcasm detection

C Wen, G Jia, J Yang - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Sarcasm indicates the literal meaning is contrary to the real attitude. Considering the
popularity and complementarity of image-text data, we investigate the task of multi-modal …

Beneath the tip of the iceberg: Current challenges and new directions in sentiment analysis research

S Poria, D Hazarika, N Majumder… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Sentiment analysis as a field has come a long way since it was first introduced as a task
nearly 20 years ago. It has widespread commercial applications in various domains like …

Multi-modal sarcasm detection in twitter with hierarchical fusion model

Y Cai, H Cai, X Wan - Proceedings of the 57th annual meeting of …, 2019 - aclanthology.org
Sarcasm is a subtle form of language in which people express the opposite of what is
implied. Previous works of sarcasm detection focused on texts. However, more and more …

A multitask learning model for multimodal sarcasm, sentiment and emotion recognition in conversations

Y Zhang, J Wang, Y Liu, L Rong, Q Zheng, D Song… - Information …, 2023 - Elsevier
Sarcasm, sentiment and emotion are tightly coupled with each other in that one helps the
understanding of another, which makes the joint recognition of sarcasm, sentiment and …

Towards multi-modal sarcasm detection via hierarchical congruity modeling with knowledge enhancement

H Liu, W Wang, H Li - arxiv preprint arxiv:2210.03501, 2022 - arxiv.org
Sarcasm is a linguistic phenomenon indicating a discrepancy between literal meanings and
implied intentions. Due to its sophisticated nature, it is usually challenging to be detected …

Sarcasm driven by sentiment: A sentiment-aware hierarchical fusion network for multimodal sarcasm detection

H Liu, R Wei, G Tu, J Lin, C Liu, D Jiang - Information Fusion, 2024 - Elsevier
Sarcasm is a form of sentiment expression that highlights the disparity between a person's
true intentions and the content they explicitly present. With the exponential increase in …