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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 …
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
Compared to traditional sentiment analysis, which only considers text, multimodal sentiment
analysis needs to consider emotional signals from multimodal sources simultaneously and …
analysis needs to consider emotional signals from multimodal sources simultaneously and …
KnowleNet: Knowledge fusion network for multimodal sarcasm detection
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 …
speaker conveys a message opposite to their true meaning, typically intending to mock or …
Multi-modal sarcasm detection via cross-modal graph convolutional network
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 …
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 …
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
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 …
nearly 20 years ago. It has widespread commercial applications in various domains like …
Multi-modal sarcasm detection in twitter with hierarchical fusion model
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 …
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
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 …
understanding of another, which makes the joint recognition of sarcasm, sentiment and …
Towards multi-modal sarcasm detection via hierarchical congruity modeling with knowledge enhancement
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 …
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
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 …
true intentions and the content they explicitly present. With the exponential increase in …