Arabic Google Maps Reviews Dataset for Tourism in Saudi Arabia with Multi-Aspect Sentiment Annotations

This dataset contains 3,543 Arabic Google Maps reviews collected from various tourist attractions across Saudi Arabia, including parks, historical sites, museums, and recreational facilities. The dataset was created as part of a research study on aspect-based sentiment analysis (ABSA) to evaluate visitor experiences and provide insights for tourism development in alignment with Saudi Vision 2030. Each review is annotated at the aspect level with sentiment polarity labels (positive, neutral, negative) across six key aspects: Price Overall Experience Facilities Staff & Service Environment Cleanliness Key Features: Language: Arabic Total Records: 3,543 reviews Source: Publicly available Google Maps reviews Annotations: Conducted manually by two trained annotators with a Cohen’s Kappa score of 0.87, ensuring high reliability. Format: Excel file (.xlsx) with structured columns for city, place name, review text, and aspect-based sentiment labels. License: Creative Commons CC0 1.0 Universal Potential Applications: Developing and benchmarking Arabic NLP models. Research on aspect-based sentiment analysis (ABSA). Tourism analytics and policy-making support. Applications in customer experience analysis for Arabic text.