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 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 …
Abstract Online Social Networks (OSNs) are the most popular interactive media for communicating, posting, and sharing indefinite amounts of personal information. However …
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 …
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 …
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 …
[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 …
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 …
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 …