Projects

Transformer-based sentiment classification for Arabic text (MSA and dialectal), built at CERIST using BERT and AraBERT.

A deep learning system combining semantic text representation with classification models to identify misinformation.

Intent classification for Arabic conversational text, supporting downstream applications like chatbots and voice assistants.

Sentiment classification models generalized across multiple languages, extending Arabic-focused work to a broader multilingual setting at CERIST.

Sentiment analysis combining text with additional modalities (audio/visual) for Arabic content, addressing the limits of text-only approaches.

REST APIs, web interfaces, and deployment infrastructure built to expose research models to end users at CERIST.