PI: Nisansa de Silva
We propose to advance aspect-based sentiment analysis (ABSA) by developing enhanced models, datasets, and evaluation methods that improve the accuracy and applicability of sentiment classification across multiple domains.
Conference Papers
B Karunarathne, V Nanayakkara, N de Silva, and T Ambegoda, "Equipping School Teachers with Technology: A Qualitative Study Based on a Training Program Conducted for School Teachers on Technology for Education", in EDULEARN25 Proceedings, 2025, pp. 9925--9931. doi: 10.21125/edulearn.2025.2580
Sachintha Rajith Ponnamperuma, Andun S. L. Gunawardana, Thilini Shanika, Prabahth Suminda Pathirana, Shahani Markus, and N. H. Nisansa Dilushan de Silva, "Novel Approach for Perception Analysis In a Learning Environment", in Teaching, Assessment and Learning (TALE), 2014 International Conference on, December. 2014, pp. 148--154. doi: 10.1109/TALE.2014.7062607
N. H. Nisansa Dilushan de Silva, Shahani Markus Weerawarana, and Amal Shehan Perera, "Enabling Effective Synoptic Assessment via Algorithmic Constitution of Review Panels", in Teaching, Assessment and Learning for Engineering (TALE), 2013 IEEE International Conference on, August. 2013, pp. 776--781. doi: 10.1109/TALE.2013.6654543
Extended Abstracts
N. H. N. D. de Silva, S. M. Weerawarana, and A. S. Perera, "Automating the Composition and Scheduling Process for Synoptic Assessment Panels", in 9th SDC-SLAIHEE Higher Education Conference 2013, June. 2013.
