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

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

Residential

Criteria

Purchase

User-Generated Data

Text Analysis.

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. 

Nursal, Ahmad Taufik

Omar, Mohd Faizal

Mohd Nawi, Mohd Nasrun

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 06 (2021); pp. 171-184

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2021-03-30

Copyright (c) 2021 Nurzahidah Che Rosli, Mohd Faizal Omar, Mohd Nasrun Mohd Nawi

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article