Join the Sentiment Analysis Challenge for Arabic Dialects in Hospitality

Participate in the Sentiment Across Multi-Dialectal Arabic shared task and contribute to Arabic NLP research, gain access to a high-quality dataset, and collaborate with the NLP community.

Calling all NLP enthusiasts and researchers! Participate in the Sentiment Across Multi-Dialectal Arabic shared task, a challenge aimed at advancing sentiment analysis for Arabic dialects in the hospitality sector.

This task provides a high-quality multi-dialect parallel dataset, enabling participants to explore dialect-specific sentiment detection, cross-linguistic sentiment analysis, and benchmarking on multi-dialect data.

• Hotel reviews across multiple Arabic dialects
• Balanced sentiment distribution (positive, neutral, negative)
• Multi-Dialect Parallel Dataset – Each review is available in multiple dialects, allowing for cross-linguistic comparison

Register now and contribute to Arabic NLP research, gain access to a high-quality dataset, and collaborate with the NLP community. High-performing models may be featured in a post-task publication.

Register for the task and download the dataset and baseline system.

Tags: Arabic NLP, Sentiment Analysis, Multi-Dialectal Arabic, Hospitality Sector, NLP Challenge, Shared Task, Research Opportunity