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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 …
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 …
A knowledge-augmented neural network model for sarcasm detection
Automatic sarcasm detection from text is one important research task in text mining and
natural language processing and has attracted extensive attention from researchers. Most …
natural language processing and has attracted extensive attention from researchers. Most …
Deep Learning and Fusion Mechanism-based Multimodal Fake News Detection Methodologies: A Review
Today, detecting fake news has become challenging as anyone can interact by freely
sending or receiving electronic information. Deep learning processes to detect multimodal …
sending or receiving electronic information. Deep learning processes to detect multimodal …
[HTML][HTML] Initial exploration into sarcasm and irony through machine translation
In this paper, we investigate sarcasm and irony as seen through a novel perspective of
machine translation. We employ various techniques for translation, comparing both …
machine translation. We employ various techniques for translation, comparing both …
Detecting and locating trending places using multimodal social network data
This paper presents a machine learning-based classifier for detecting points of interest
through the combined use of images and text from social networks. This model exploits the …
through the combined use of images and text from social networks. This model exploits the …
The research landscape on generative artificial intelligence: a bibliometric analysis of transformer-based models
Purpose The aim of this study is to offer valuable insights to businesses and facilitate better
understanding on transformer-based models (TBMs), which are among the widely employed …
understanding on transformer-based models (TBMs), which are among the widely employed …
Exploiting stacked embeddings with LSTM for multilingual humor and irony detection
Humor and irony are types of communication that evoke laughter or contain hidden sarcasm.
The opportunity to diversely express people's opinions on social media using humorous …
The opportunity to diversely express people's opinions on social media using humorous …
Multi-modal hierarchical fusion network for fine-grained paper classification
T Yue, Y Li, J Qin, Z Hu - Multimedia Tools and Applications, 2024 - Springer
Because huge amount of scientific papers have been published at an accelerating rate, it is
beneficial to do intelligent paper classification, especially fine-grained classification …
beneficial to do intelligent paper classification, especially fine-grained classification …