M Tamer, MA Khamis, A Yahia, SAL Khaled… - EPJ data …, 2023 - epjds.epj.org
The aim of this paper is to analyze the Arab peoples reactions and attitudes towards the Russo-Ukraine War through the social media of posted tweets, as a fast means to express …
The overturning of Roe v Wade reinvigorated the national debate on abortion. We used Twitter data to examine temporal, geographical and sentiment patterns in the public's …
The existing emotion-cause pair extraction (ECPE) task, unfortunately, ignores extracting the emotion type and cause type, while these fine-grained meta-information can be practically …
D Tsirmpas, I Gkionis, I Mademlis - arXiv preprint, 2023 - academia.edu
Abstract The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long …
V Karyukin, G Mutanov, Z Mamykova, G Nassimova… - Journal of big Data, 2022 - Springer
Social media services and analytics platforms are rapidly growing. A large number of various events happen mostly every day, and the role of social media monitoring tools is …
D Tsirmpas, I Gkionis, GT Papadopoulos… - … Applications of Artificial …, 2024 - Elsevier
Abstract The adoption of Deep Neural Networks (DNNs) has greatly benefited Natural Language Processing (NLP) during the past decade. However, the demands of long …
The rapid growth of on-line social media platforms has rendered opinion mining/sentiment analysis a critical area of Natural Language Processing (NLP) research. This paper focuses …
Abortion remains one of the most controversial topics, especially after overturning Roe v. Wade ruling in the United States. Previous literature showed that the illegality of abortion …
With the development of the Internet, the oversight of research integrity issues has extended beyond the scientific community to encompass the whole of society. If these issues are not …