BSc Eng. (Hons) (Moratuwa)
Keywords: Natural Language Processing | Education | Aspect-based Sentiment Analysis | Aspect Extraction | DeBERTa | InstructABSA |
Journal Papers
Dineth Jayakody, A V A Malkith, Koshila Isuranda, Vishal Thenuwara, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G G N Sandamali, and K L K Sudheera, "Instruct-DeBERTa: A Hybrid Approach for Aspect-based Sentiment Analysis on Textual Reviews", ICTer, vol. 18, no. 2, pp. 39-50, 2025. doi: 10.4038/icter.v18i2.7290
Conference Papers
Dineth Jayakody, Koshila Isuranda, A V A Malkith, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G G N Sandamali, K L K Sudheera, and Kashnika Gimhani Sarathchandra, "Enhanced Aspect-Based Sentiment Analysis with Integrated Category Extraction for Instruct-DeBERTa", in Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024, pp. 665--674.
Dineth Jayakody, Koshila Isuranda, A V A Malkith, Nisansa de Silva, Sachintha Rajith Ponnamperuma, G G N Sandamali, and K L K Sudheera, "Aspect-Based Sentiment Analysis Techniques: A Comparative Study", in 2024 Moratuwa Engineering Research Conference (MERCon), 2024, pp. 205--210. doi: 10.1109/MERCon63886.2024.10688631
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
Workshop Papers
Dineth Jayakody, Koshila Isuranda, A V A Malkith, Nisansa de Silva, G G N Sandamali, K L K Sudheera, and Sachintha Rajith, "Instruct-DeBERTa: A Hybrid Approach for Enhanced Aspect-Based Sentiment Analysis with Category Extraction", in Eighth Widening NLP Workshop (WiNLP 2024) Phase II, 2024.
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.
PI: Nisansa de Silva
We propose to advance natural language processing for low-resource settings by leveraging data augmentation, transfer learning, and model adaptation techniques to overcome the scarcity of annotated data and linguistic resources.
