State of the art: a review of sentiment analysis based on sequential transfer learning

JYL Chan, KT Bea, SMH Leow, SW Phoong… - Artificial Intelligence …, 2023 - Springer
Recently, sequential transfer learning emerged as a modern technique for applying the
“pretrain then fine-tune” paradigm to leverage existing knowledge to improve the …

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 …

The unbearable hurtfulness of sarcasm

S Frenda, AT Cignarella, V Basile, C Bosco… - Expert Systems with …, 2022 - Elsevier
In the last decade, the need to detect automatically irony to correctly recognize the sentiment
and hate speech involved in online texts increased the investigation on humorous figures of …

[HTML][HTML] Sarcasm detection using news headlines dataset

R Misra, P Arora - AI Open, 2023 - Elsevier
Sarcasm has been an elusive concept for humans. Due to interesting linguistic properties,
sarcasm detection has gained traction of the Natural Language Processing (NLP) research …

Multi-modal sarcasm detection with interactive in-modal and cross-modal graphs

B Liang, C Lou, X Li, L Gui, M Yang, R Xu - Proceedings of the 29th ACM …, 2021 - dl.acm.org
Sarcasm is a peculiar form and sophisticated linguistic act to express the incongruity of
someone's implied sentiment expression, which is a pervasive phenomenon in social media …

Sarcasm detection over social media platforms using hybrid ensemble model with fuzzy logic

DK Sharma, B Singh, S Agarwal, N Pachauri… - Electronics, 2023 - mdpi.com
A figurative language expression known as sarcasm implies the complete contrast of what is
being stated with what is meant, with the latter usually being rather or extremely offensive …

A survey on pragmatic processing techniques

R Mao, M Ge, S Han, W Li, K He, L Zhu, E Cambria - Information Fusion, 2025 - Elsevier
Pragmatics, situated in the domains of linguistics and computational linguistics, explores the
influence of context on language interpretation, extending beyond the literal meaning of …

Sememe knowledge and auxiliary information enhanced approach for sarcasm detection

Z Wen, L Gui, Q Wang, M Guo, X Yu, J Du… - Information Processing & …, 2022 - Elsevier
Sarcasm expression is a pervasive literary technique in which people intentionally express
the opposite of what is implied. Accurate detection of sarcasm in a text can facilitate the …

Affective dependency graph for sarcasm detection

C Lou, B Liang, L Gui, Y He, Y Dang, R Xu - Proceedings of the 44th …, 2021 - dl.acm.org
Detecting sarcastic expressions could promote the understanding of natural language in
social media. In this paper, we revisit sarcasm detection from a novel perspective, so as to …

Sarcasm detection over social media platforms using hybrid auto-encoder-based model

DK Sharma, B Singh, S Agarwal, H Kim, R Sharma - Electronics, 2022 - mdpi.com
Sarcasm is a language phrase that conveys the polar opposite of what is being said,
generally something highly unpleasant to offend or mock somebody. Sarcasm is widely …