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 …

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 …

[HTML][HTML] 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 …

: Reverse, Retrieve, and Rank for Sarcasm Generation with Commonsense Knowledge

T Chakrabarty, D Ghosh, S Muresan… - arxiv preprint arxiv …, 2020 - arxiv.org
We propose an unsupervised approach for sarcasm generation based on a non-sarcastic
input sentence. Our method employs a retrieve-and-edit framework to instantiate two major …

When did you become so smart, oh wise one?! sarcasm explanation in multi-modal multi-party dialogues

S Kumar, A Kulkarni, MS Akhtar… - arxiv preprint arxiv …, 2022 - arxiv.org
Indirect speech such as sarcasm achieves a constellation of discourse goals in human
communication. While the indirectness of figurative language warrants speakers to achieve …

Sarcasm detection in online comments using machine learning

D Šandor, MB Babac - Information Discovery and Delivery, 2023 - emerald.com
Purpose Sarcasm is a linguistic expression that usually carries the opposite meaning of
what is being said by words, thus making it difficult for machines to discover the actual …

A report on the 2020 sarcasm detection shared task

D Ghosh, A Vajpayee, S Muresan - arxiv preprint arxiv:2005.05814, 2020 - arxiv.org
Detecting sarcasm and verbal irony is critical for understanding people's actual sentiments
and beliefs. Thus, the field of sarcasm analysis has become a popular research problem in …

Context-aware sarcasm detection using BERT

A Baruah, K Das, F Barbhuiya… - Proceedings of the Second …, 2020 - aclanthology.org
In this paper, we present the results obtained by BERT, BiLSTM and SVM classifiers on the
shared task on Sarcasm Detection held as part of The Second Workshop on Figurative …

Empirical analysis of multi-task learning for reducing identity bias in toxic comment detection

A Vaidya, F Mai, Y Ning - Proceedings of the International AAAI Conference …, 2020 - aaai.org
With the recent rise of toxicity in online conversations on social media platforms, using
modern machine learning algorithms for toxic comment detection has become a central …

A Comparative Review of Deep Learning Techniques on the Classification of Irony and Sarcasm in Text

L Boutsikaris, S Polykalas - IEEE Transactions on Artificial …, 2024 - ieeexplore.ieee.org
This paper provides a review of classification methods for irony and sarcasm in textual data.
It explores different approaches to detecting irony and sarcasm, their definitions …