A comprehensive survey on Arabic sarcasm detection: approaches, challenges and future trends

A Rahma, SS Azab, A Mohammed - IEEE Access, 2023 - ieeexplore.ieee.org
On social media platforms, it is essential to express one's thoughts, opinions, and reviews.
One of the most widely used linguistic forms to criticize or express a person's ideas with …

Survey on profiling age and gender of text authors

Y HaCohen-Kerner - Expert Systems with Applications, 2022 - Elsevier
Author profiling from text documents has become a popular task in latest years, in natural
language applications. Author profiling is important for various domains such as advertising …

Irony detection via sentiment-based transfer learning

S Zhang, X Zhang, J Chan, P Rosso - Information Processing & …, 2019 - Elsevier
Irony as a literary technique is widely used in online texts such as Twitter posts. Accurate
irony detection is crucial for tasks such as effective sentiment analysis. A text's ironic intent is …

Multi-label arabic text classification in online social networks

A Omar, TM Mahmoud, T Abd-El-Hafeez, A Mahfouz - Information Systems, 2021 - Elsevier
Abstract Online Social Networks (OSNs) are the most popular interactive media for
communicating, posting, and sharing indefinite amounts of personal information. However …

Arabic fake news detection based on textual analysis

H Himdi, G Weir, F Assiri, H Al-Barhamtoshy - Arabian journal for science …, 2022 - Springer
Over the years, social media has had a considerable impact on the way we share
information and send messages. With this comes the problem of the rapid distribution of fake …

Transformer based contextualization of pre-trained word embeddings for irony detection in Twitter

JÁ González, LF Hurtado, F Pla - Information Processing & Management, 2020 - Elsevier
Human communication using natural language, specially in social media, is influenced by
the use of figurative language like irony. Recently, several workshops are intended to …

DAICT: A dialectal Arabic irony corpus extracted from Twitter

I Abbes, W Zaghouani, O El-Hardlo… - Proceedings of the …, 2020 - aclanthology.org
Identifying irony in user-generated social media content has a wide range of applications;
however to date Arabic content has received limited attention. To bridge this gap, this study …

Overview of the track on author profiling and deception detection in arabic

F Rangel, P Rosso, A Charfi, W Zaghouani… - Working Notes of FIRE …, 2019 - riunet.upv.es
[EN] This overview presents the Author Profiling and Deception Detection in Arabic (APDA)
shared task at PAN@ FIRE 2019. Two have been the main aims of this years task: i) to …

Enhancement of a multi-dialectal sentiment analysis system by the detection of the implied sarcastic features

I Touahri, A Mazroui - Knowledge-Based Systems, 2021 - Elsevier
Sentiment analysis is an NLP task that gained the interest of many researchers in various
languages and recently in the Arabic language. We have encountered several challenges …

Introduction to the special issue on language in social media: exploiting discourse and other contextual information

F Benamara, D Inkpen, M Taboada - Computational Linguistics, 2018 - direct.mit.edu
Social media content is changing the way people interact with each other and share
information, personal messages, and opinions about situations, objects, and past …