Research on sentiment classification for Arabic text using genetic algorithms to optimize performance.
#sentiment analysis
Content tagged with "sentiment analysis"
Transformer-based sentiment classification for Arabic text (MSA and dialectal), built at CERIST using BERT and AraBERT.
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.