SiDiaC is a new historical corpus of Sinhala literary works spanning the 5th to 20th centuries, constructed via OCR digitization, orthography modernization, and genre-based annotation.
Survey on Publicly Available Sinhala Natural Language Processing Tools and Research,
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SalAngaBhava is a new, publicly released Sinhala e-commerce review dataset with 1,858 reviews manually annotated at the aspect-sentiment quadruple level for ABSA research.
Empirical analysis of Sri Lankan tourism reviews finds 18.6% incongruence between star ratings and text sentiment, varying by venue type and linked to reviewer expertise, length, and temporal factors.
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SiDiaC: Sinhala Diachronic Corpus
SiDiaC is a new historical corpus of Sinhala literary works spanning the 5th to 20th centuries, constructed via OCR digitization, orthography modernization, and genre-based annotation.
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SalAngaBhava: A Sinhala Market Dataset for Aspect-based Sentiment Analysis
SalAngaBhava is a new, publicly released Sinhala e-commerce review dataset with 1,858 reviews manually annotated at the aspect-sentiment quadruple level for ABSA research.
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Fault of Our Stars: Behavioral Drivers of Rating-Sentiment Incongruence
Empirical analysis of Sri Lankan tourism reviews finds 18.6% incongruence between star ratings and text sentiment, varying by venue type and linked to reviewer expertise, length, and temporal factors.