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 …

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 …

Sarcasm identification in textual data: systematic review, research challenges and open directions

CI Eke, AA Norman, L Shuib, HF Nweke - Artificial Intelligence Review, 2020 - Springer
Sarcasm is a form of sentiment whereby people express the implicit information, usually the
opposite of the message content in order to hurt someone emotionally or criticise something …

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

B Liang, C Lou, X Li, M Yang, L Gui… - Proceedings of the …, 2022 - wrap.warwick.ac.uk
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 …

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 …

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 …

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 multimodal sarcasm detection (an _obviously_ perfect paper)

S Castro, D Hazarika, V Pérez-Rosas… - arXiv preprint arXiv …, 2019 - arxiv.org
Sarcasm is often expressed through several verbal and non-verbal cues, eg, a change of
tone, overemphasis in a word, a drawn-out syllable, or a straight looking face. Most of the …

Mutual-enhanced incongruity learning network for multi-modal sarcasm detection

Y Qiao, L Jing, X Song, X Chen, L Zhu… - Proceedings of the AAAI …, 2023 - ojs.aaai.org
Sarcasm is a sophisticated linguistic phenomenon that is prevalent on today's social media
platforms. Multi-modal sarcasm detection aims to identify whether a given sample with multi …