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Sinhala Sentence Embedding: A Two-Tiered Structure for Low-Resource Languages
In the process of numerically modeling natural languages, developing language embeddings is a vital step.
Sentiment Analysis with Deep Learning Models: A Comparative Study on a Decade of Sinhala Language Facebook Data
The relationship between Facebook posts and the corresponding reaction feature is an interesting subject to explore and understand.
Seeking Sinhala Sentiment: Predicting Facebook Reactions of Sinhala Posts
This paper uses millions of such reactions, derived from a decade worth of Facebook post data centred around a Sri Lankan context, to model an eye of the beholder approach to sentiment detection for online Sinhala textual content.
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