Odiaka, Emmanuella Anita (2025) Enhancing Dublin Rental Price Prediction by Integrating Policy Insights via Large Language Models and Explainable AI. Masters thesis, Dublin, National College of Ireland.
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Abstract
This body of work proposes the use of AI techniques to determine whether incorporating policy insights obtained with Large Language Models (LLMs), improve the accuracy of rental price forecast models for the Dublin housing market. It will bring together structured rental data with unstructured government policy texts for the construction of a hybrid model. It will employ machine learning, natural language processing components (NLP), and Explainable AI (XAI) software for making precise predictions and deriving valuable insights. Additionally, language models like GPT-4 will be used for extracting key themes, sentiments, and proposals from government texts. It will verify the performance of the model with benchmark regression metrics, fairness checks, and thorough analysis of insights generated. It will build an evidence-based system for enabling decision makers to make clearer, fairer, and realistic housing policy plans.
| Item Type: | Thesis (Masters) |
|---|---|
| Supervisors: | Name Email Yaqoob, Abid UNSPECIFIED |
| Uncontrolled Keywords: | Rental Price Forecasting; Large Language Models; Dublin Housing Market; Explainable AI; Policy Insight Extraction |
| Subjects: | Q Science > QH Natural history > QH301 Biology > Methods of research. Technique. Experimental biology > Data processing. Bioinformatics > Artificial intelligence Q Science > Q Science (General) > Self-organizing systems. Conscious automata > Artificial intelligence P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing D History General and Old World > DA Great Britain > Ireland > Dublin G Geography. Anthropology. Recreation > GF Human ecology. Anthropogeography > Human settlements > Housing > Rental housing |
| Divisions: | School of Computing > Master of Science in Data Analytics |
| Depositing User: | Ciara O'Brien |
| Date Deposited: | 26 Aug 2026 10:10 |
| Last Modified: | 26 Aug 2026 10:10 |
| URI: | https://norma.ncirl.ie/id/eprint/9653 |
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