activity
20242026
most citedAspect-Based Sentiment Analysis Techniques: A Comparative Study

13 citations · 17 across the 10 of their papers we have counts for

collaborators

14 papers

cs.SE2026

TripleBound: Triplet-Guided Heterogeneous Graph Learning for Microservice Decomposition

Mineth Weerasinghe, Himindu Kularathne, Methmini Madhushika +4

Cloud computing and DevOps have made microservices a common architecture for scalable, maintainable software systems. However, migrating monoliths to microservices remains challeng…

cs.CL2026

Dynamics of meaning: Towards the Evaluation of Diachronic Semantic Change in Sinhala

Nevidu Jayatilleke, Nisansa de Silva

Tracking semantic change in low-resource languages across extensive historical timelines presents significant challenges due to data scarcity and the limitations of static embeddin…

econ.GN2026

Forecasting Weather-Driven Price Dynamics Across Sri Lankan Tea Market Catalogues

Hesandi Mallawarachchi, Senilka Madurapperumage, Nadil Kulathunge +6

The Colombo Tea Auction (CTA) plays a vital role in determining global tea prices, yet the relationship between local weather conditions and price behavior across different tea cat…

cs.CL2026

HelaBERT: Enhancing Sinhala Language Understanding with Dual Pooling Classification Head

Thisen Ekanayake, Nisansa de Silva

We present HelaBERT, a family of two BERT-based masked language models pre-trained from scratch on approximately 1 billion tokens of Sinhala text sourced from MADLAD-400, CulturaX,…

cs.CL2026

Semantics of Subterfuge: Benchmarking Legal Deception Detection Against General-domain State-of-the-Art

Theekshana Samaradiwakara, Nisansa de Silva, George C. Lobb

Deception detection has critical implications for legal proceedings, law enforcement, and online security. Although human judgment is limited in accuracy and scalability, Natural L…

cs.CL2026

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

Lakshani Galwatta, Nisansa de Silva, Sarangi Aththanayake +1

Sentiment analysis has been a primary domain under Natural Language Processing (NLP) from its inception as it plays a vital role in both real-world and research applications. In hi…