Graph-Enhanced sentiment Analysis for Hotel Reviews using neural networks

Vunnam, Tejaswini Reddy (2025) Graph-Enhanced sentiment Analysis for Hotel Reviews using neural networks. Masters thesis, Dublin, National College of Ireland.

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Abstract

Sentiment analysis of hotel reviews is important for figuring out how happy customers are and making better business decisions. But traditional models only look at reviews as separate documents and don't consider the natural relationships between reviews that have similar contexts or feelings. This study introduces a novel graph-enhanced sentiment analysis framework that integrates Graph Neural Networks with contextual word embeddings, representing reviews as semantically interconnected nodes within a graph. A lot of tests on 12,000 TripAdvisor reviews show that the suggested framework is better than all the other ones that were tested. The best sentiment classification accuracy is 80.33%, which is 7.94% higher than the best traditional baseline accuracy of 74.42% on the same datasets. Ablation studies comparing architecturally similar GNNs and Multi-Layer Perceptrons demonstrate that the sole factor enhancing classification accuracy by 14.71 percentage points is the graph's structure. The framework also performs exceptionally well in predicting ratings; its RMSE is 0.8406, while the best baseline's is 0.9817. This study demonstrates that the integration of relational structure via graph neural networks yields significant and pragmatic enhancements in sentiment analysis within the hospitality sector, providing a novel framework for utilising document relationships in natural language processing projects.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Tomer, Vikas UNSPECIFIED
Subjects:	P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing H Social Sciences > HF Commerce > Marketing > Consumer Behaviour H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Hospitality Industry
Divisions:	School of Computing > Master of Science in Data Analytics
Depositing User:	Ciara O'Brien
Date Deposited:	27 Aug 2026 09:18
Last Modified:	27 Aug 2026 09:18
URI:	https://norma.ncirl.ie/id/eprint/9681

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