Text Pre-Processing For The Frequently Mentioned Criteria From Online Community Homebuyer Dataset

International Journal of Interactive Mobile Technologies (iJIM)

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Field Value
 
Title Text Pre-Processing For The Frequently Mentioned Criteria From Online Community Homebuyer Dataset
 
Creator Nursal, Ahmad Taufik; Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Omar, Mohd Faizal; Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia
Mohd Nawi, Mohd Nasrun; Universiti Utara Malaysia, 06010 Sintok, Kedah,
 
Subject Residential, Criteria, Purchase, User-Generated Data, Text Analysis.
 
Description Due to the competitive Malaysian residential market with a large number of residential projects that offered almost similar features lead to difficulties of residential purchasing among homebuyers. These days, homebuyers are very selective, careful, and required more time in deciding due to the high numbers of abundant, and problem residential projects in Malaysia. As a result, a high number of unsold residential projects were reported. Therefore, understanding homebuyer criteria in a residential purchase is crucially important towards successful Malasia residential projects in the long term. This paper identifies and prioritizing homebuyers criteria in mainland Penang, Malaysia from user-generated data in online property forums. 6000 data was extracted through RapidMiner software. Once data were processes, statistic analysis is used to determined and prioritize the homebuyer's criteria. The classification of criteria is made by the real estate experts.  The result of the study provides fresh insight into homebuyers' criteria. The findings should offer developers, government, potential homebuyers, and real estate agents a better understanding of homebuyers criteria in Penang, Malaysia. 
 
Publisher International Association of Online Engineering (IAOE), Vienna, Austria
 
Contributor
 
Date 2021-03-30
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article
 
Format application/pdf
 
Identifier https://online-journals.org/index.php/i-jim/article/view/20801
10.3991/ijim.v15i06.20801
 
Source International Journal of Interactive Mobile Technologies (iJIM); Vol 15, No 06 (2021); pp. 171-184
1865-7923
 
Language eng
 
Relation https://online-journals.org/index.php/i-jim/article/view/20801/8985
 
Rights Copyright (c) 2021 Nurzahidah Che Rosli, Mohd Faizal Omar, Mohd Nasrun Mohd Nawi
 

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