Cover Image

Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique

The residential house purchase decision making is highly complex due to reasons such as conflicting criteria which is hard to model, infrequent type of decisions, uncertain and irreversible decision outcomes, high investment, and long-term financial burden. Unlike many other types of purchasing, hou...

Full description

Saved in:
Bibliographic Details
Main Author: Ahmad Taufik, Nursal
Format: Thesis
Language:English
English
English
Published: 2021
Subjects:
HD28-70 Management. Industrial Management
HD61 Risk Management
HF5001-6182 Business
Online Access:https://etd.uum.edu.my/9820/1/permission%20to%20deposit-901794.pdf
https://etd.uum.edu.my/9820/2/s901794_01.pdf
https://etd.uum.edu.my/9820/3/s901794_02.pdf
https://etd.uum.edu.my/9820/
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.uum.etd.9820
record_format eprints
spelling my.uum.etd.98202022-09-07T07:30:57Z https://etd.uum.edu.my/9820/ Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique Ahmad Taufik, Nursal HD28-70 Management. Industrial Management HD61 Risk Management HF5001-6182 Business The residential house purchase decision making is highly complex due to reasons such as conflicting criteria which is hard to model, infrequent type of decisions, uncertain and irreversible decision outcomes, high investment, and long-term financial burden. Unlike many other types of purchasing, housing purchase decision-making is riskier and sometimes even ‘traumatic’. It is often associated with feeling of regret and the possibility of loss among homebuyers. Typically, the Multi Attribute Decision Making (MADM) models are used to systematically assist and structure residential housing project selection decision making. However, the MADM models impose deficiencies in the evaluation process due to insufficient knowledge of homebuyers, ignorance of public opinions and limited sources of information. Furthermore, the application of MADM models requires homebuyer to rely on their evaluation experience which potentially led to an imprecise decision. Hence, this study developed an improved model by integrating MADM and three approaches of Sentiment Analysis to capture and rank criteria from public opinions through online reviews. Properties online forums and google reviews were selected to extract public opinions through online reviews. Three high-rise residential projects located in Malaysia were used as case projects for demonstrating the model development and validation of the proposed framework. Three Sentiment Analysis approach were considered; Lexicon, Machine Learning and hybrid. Based on the ranking established by the models, it shows that location, facility, and house attributes are the most important criteria in residential housing purchase decision making. In addition, classification using a hybrid MADM Sentiment Analysis approach outperforms the Lexicon approach with better accuracy. The developed model can assist homebuyer in making decision for the current practice. Moreover, it can be generalised to other related multi-criteria applications with the use of online public opinions as reference. 2021 Thesis NonPeerReviewed text en https://etd.uum.edu.my/9820/1/permission%20to%20deposit-901794.pdf text en https://etd.uum.edu.my/9820/2/s901794_01.pdf text en https://etd.uum.edu.my/9820/3/s901794_02.pdf Ahmad Taufik, Nursal (2021) Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique. Doctoral thesis, Universiti Utara Malaysia.
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
English
topic HD28-70 Management. Industrial Management
HD61 Risk Management
HF5001-6182 Business
spellingShingle HD28-70 Management. Industrial Management
HD61 Risk Management
HF5001-6182 Business
Ahmad Taufik, Nursal
Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
description The residential house purchase decision making is highly complex due to reasons such as conflicting criteria which is hard to model, infrequent type of decisions, uncertain and irreversible decision outcomes, high investment, and long-term financial burden. Unlike many other types of purchasing, housing purchase decision-making is riskier and sometimes even ‘traumatic’. It is often associated with feeling of regret and the possibility of loss among homebuyers. Typically, the Multi Attribute Decision Making (MADM) models are used to systematically assist and structure residential housing project selection decision making. However, the MADM models impose deficiencies in the evaluation process due to insufficient knowledge of homebuyers, ignorance of public opinions and limited sources of information. Furthermore, the application of MADM models requires homebuyer to rely on their evaluation experience which potentially led to an imprecise decision. Hence, this study developed an improved model by integrating MADM and three approaches of Sentiment Analysis to capture and rank criteria from public opinions through online reviews. Properties online forums and google reviews were selected to extract public opinions through online reviews. Three high-rise residential projects located in Malaysia were used as case projects for demonstrating the model development and validation of the proposed framework. Three Sentiment Analysis approach were considered; Lexicon, Machine Learning and hybrid. Based on the ranking established by the models, it shows that location, facility, and house attributes are the most important criteria in residential housing purchase decision making. In addition, classification using a hybrid MADM Sentiment Analysis approach outperforms the Lexicon approach with better accuracy. The developed model can assist homebuyer in making decision for the current practice. Moreover, it can be generalised to other related multi-criteria applications with the use of online public opinions as reference.
format Thesis
author Ahmad Taufik, Nursal
author_facet Ahmad Taufik, Nursal
author_sort Ahmad Taufik, Nursal
title Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
title_short Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
title_full Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
title_fullStr Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
title_full_unstemmed Improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
title_sort improving residential housing project purchase by using integrated multi-attribute decision making and sentiment analysis technique
publishDate 2021
url https://etd.uum.edu.my/9820/1/permission%20to%20deposit-901794.pdf
https://etd.uum.edu.my/9820/2/s901794_01.pdf
https://etd.uum.edu.my/9820/3/s901794_02.pdf
https://etd.uum.edu.my/9820/
_version_ 1744356371607846912
score 13.211869

Similar Items