no code implementations • SemEval (NAACL) 2022 • Roberto Zamparelli, Shammur Chowdhury, Dominique Brunato, Cristiano Chesi, Felice Dell’Orletta, Md. Arid Hasan, Giulia Venturi
We report the results of the SemEval 2022 Task 3, PreTENS, on evaluation the acceptability of simple sentences containing constructions whose two arguments are presupposed to be or not to be in an ordered taxonomic relation.
no code implementations • 24 Oct 2023 • Md. Arid Hasan, Firoj Alam, Anika Anjum, Shudipta Das, Afiyat Anjum
Additionally, we provide a brief overview of the systems submitted by the participants.
1 code implementation • 21 Aug 2023 • Md. Arid Hasan, Shudipta Das, Afiyat Anjum, Firoj Alam, Anika Anjum, Avijit Sarker, Sheak Rashed Haider Noori
The rapid expansion of the digital world has propelled sentiment analysis into a critical tool across diverse sectors such as marketing, politics, customer service, and healthcare.
no code implementations • 15 Jul 2022 • Prerona Tarannum, Firoj Alam, Md. Arid Hasan, Sheak Rashed Haider Noori
In further experiments, our evaluation shows that transformer models (BERT-m and XLM-RoBERTa-base) outperform the SVM and RF in Dutch and English languages where a different scenario is observed for Spanish.
no code implementations • 23 Jan 2022 • Effat Ara Easmin Lucky, Md. Mahadi Hasan Sany, Mumenunnesa Keya, Md. Moshiur Rahaman, Umme Habiba Happy, Sharun Akter Khushbu, Md. Arid Hasan
Time series analysis can be useful to see how a given asset, security, or economy changes over time.
1 code implementation • 29 Aug 2021 • Firoj Alam, Tanvirul Alam, Md. Arid Hasan, Abul Hasnat, Muhammad Imran, Ferda Ofli
This is the first dataset of its kind: social media images, disaster response, and multi-task learning research.
1 code implementation • 19 Nov 2020 • Md. Arid Hasan, Jannatul Tajrin, Shammur Absar Chowdhury, Firoj Alam
In this study, we explore several publicly available sentiment labeled datasets and designed classifiers using both classical and deep learning algorithms.