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Maniganze, Taylou (2024) A Deep Learning Framework to Identify Interconnectivity of Citation Networks. Masters thesis, Dublin, National College of Ireland.
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Abstract
Citation networks are graphs that describe citations within a collection of scholarly articles. Citation analysis can be used to identify the amount of interconnectivity such as the citation structure, word refreshes, influence, and quality of research. Identifying the related citation to an author’s research is a challenge due to the number of papers that exist, and the datasets that are available have a lot of papers which leads to datasets being very huge.
This research proposes a Deep Learning Framework to identify interconnectivity of citation networks. The proposed framework combines Transformer models and Interconnectivity. The transformer models are trained on three different datasets C2D-I, ACL-ARC, and SciCite. This research compares transformer models BERT_base, BERT_large, and DistilBERT to identify the model with the highest accuracy. This research is of interest to research students who require help in identifying the most relevant research papers for their research area.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Stynes, Paul UNSPECIFIED |
| Uncontrolled Keywords: | Transformer models; word embeddings; citation analysis; citation network; BERT |
| Subjects: | Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Machine learning Q Science > Q Science (General) > Research Z Bibliography. Library Science. Information Resources > ZA Information resources > Research |
| Divisions: | School of Computing > Master of Science in Artificial Intelligence |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 03 Jun 2025 12:30 |
| Last Modified: | 03 Jun 2025 12:30 |
| URI: | https://norma.ncirl.ie/id/eprint/7722 |
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