Sentiment Analysis of Ireland Housing Problem using Ensemble Learning and XAI Technique

Pun, Basanti (2023) Sentiment Analysis of Ireland Housing Problem using Ensemble Learning and XAI Technique. Masters thesis, Dublin, National College of Ireland.

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Abstract

The problem of housing has become a critical issue in Ireland, and it is necessary to assess public sentiment towards it using sentiment analysis to locate areas for improvement. This research uses a combination of machine learning techniques, such as Logistic Regression, Support Vector Machine (SVM), and Decision Tree, to gain more accurate insights into the sentiments expressed in the data. The researchers also use an XAI technique called LIME to ensure transparency and interpretability. Amazon Sagemaker is used to perform the complete analysis for the research work. The data is collected from Twitter through different hashtags related to housing in Ireland. The primary aim of this study is to identify the location where most people face this problem. The ensemble technique utilizes classifiers, including logistic regression, SVM, and decision tree, for classification and then recognizes important or unknown factors' insights from the data with the help of XAI technique, which adds value to the sentiment analysis. The ensemble method achieves an overall classification accuracy of 70%. The objective of this research is to support future researchers in the fields of machine learning and sentiment analysis concerning housing issues.

Item Type:	Thesis (Masters)
Supervisors:	Name Email Jaswal, Shivani UNSPECIFIED
Subjects:	Q Science > QA Mathematics > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Electronic computers. Computer science T Technology > T Technology (General) > Information Technology > Cloud computing P Language and Literature > P Philology. Linguistics > Computational linguistics. Natural language processing H Social Sciences > HD Industries. Land use. Labor > Specific Industries > Property Industry
Divisions:	School of Computing > Master of Science in Cloud Computing
Depositing User:	Tamara Malone
Date Deposited:	05 Jan 2024 17:05
Last Modified:	05 Jan 2024 17:05
URI:	https://norma.ncirl.ie/id/eprint/6906

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