SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis

Researchers introduce SalAngaBhava, a new dataset designed to support Aspect-based Sentiment Analysis (ABSA) for Sinhala, a low-resource Indo-Aryan language. The collection consists of manually labeled product reviews containing aspect terms and their associated sentiments.

• Data was gathered from domain-relevant sources like user-generated reviews and comments.
• Annotations follow carefully defined guidelines to ensure consistency and quality.
• The dataset includes sentences and aspect-sentiment pairs covering various domains.
• Analysis confirms the data is well-structured and sufficiently balanced for ABSA research.

This resource serves as a benchmark to facilitate further studies in Sinhala natural language processing and low-resource sentiment analysis tasks.