From the 1 of 6 linked papers with an AI index.
6 papers
AHA-Memes: A Fine-Grained Multimodal Benchmark for Understanding Hate in Arabic Memes
Mohamed Bayan Kmainasi, Ali Ezzat Shahroor, Abul Hasnat +3
The paper presents AHA-Memes, a large-scale Arabic hateful meme dataset with fine-grained, multi‑label annotations, and provides baseline evaluations of text, image, and multimodal…
Early Prediction of Type 2 Diabetes Using Multimodal data and Tabular Transformers
Sulaiman Khan, Md. Rafiul Biswas, Zubair Shah
This study introduces a novel approach for early Type 2 Diabetes Mellitus (T2DM) risk prediction using a tabular transformer (TabTrans) architecture to analyze longitudinal patient…
MARSAD: A Multi-Functional Tool for Real-Time Social Media Analysis
Md. Rafiul Biswas, Firoj Alam, Wajdi Zaghouani
MARSAD is a multifunctional natural language processing (NLP) platform designed for real-time social media monitoring and analysis, with a particular focus on the Arabic-speaking w…
An Annotated Corpus of Arabic Tweets for Hate Speech Analysis
Wajdi Zaghouani, Md. Rafiul Biswas
Identifying hate speech content in the Arabic language is challenging due to the rich quality of dialectal variations. This study introduces a multilabel hate speech dataset in the…
EmoHopeSpeech: An Annotated Dataset of Emotions and Hope Speech in English and Arabic
Wajdi Zaghouani, Md. Rafiul Biswas
This research introduces a bilingual dataset comprising 23,456 entries for Arabic and 10,036 entries for English, annotated for emotions and hope speech, addressing the scarcity of…
Propaganda to Hate: A Multimodal Analysis of Arabic Memes with Multi-Agent LLMs
Firoj Alam, Md. Rafiul Biswas, Uzair Shah +2
In the past decade, social media platforms have been used for information dissemination and consumption. While a major portion of the content is posted to promote citizen journalis…