ARTÍCULO
TITULO

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

Ahmad Taufik Nursal    
Mohd Faizal Omar    
Mohd Nasrun Mohd Nawi    

Resumen

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. 

 Artículos similares

       
 
Guizhe Song, Degen Huang and Zhifeng Xiao    
Multilingual characteristics, lack of annotated data, and imbalanced sample distribution are the three main challenges for toxic comment analysis in a multilingual setting. This paper proposes a multilingual toxic text classifier which adopts a novel fus... ver más
Revista: Information

 
Shuang Liu, Nannan Tan, Yaqian Ge and Niko Lukac    
Question-answering systems based on knowledge graphs are extremely challenging tasks in the field of natural language processing. Most of the existing Chinese Knowledge Base Question Answering(KBQA) can only return the knowledge stored in the knowledge b... ver más
Revista: Information

 
Tomás Madeira, Rui Melício, Duarte Valério and Luis Santos    
In the aviation sector, human factors are the primary cause of safety incidents. Intelligent prediction systems, which are capable of evaluating human state and managing risk, have been developed over the years to identify and prevent human factors. Howe... ver más
Revista: Aerospace

 
Han Kyul Kim, Sae Won Choi, Ye Seul Bae, Jiin Choi, Hyein Kwon, Christine P. Lee, Hae-Young Lee and Taehoon Ko    
With its term mapping capability, MARIE can be used to improve data interoperability between different biomedical institutions. It can also be applied to text data pre-processing or normalization in non-biomedical domains.
Revista: Applied Sciences

 
Viera Maslej-Kre?náková, Martin Sarnovský, Peter Butka and Kristína Machová    
The emergence of anti-social behaviour in online environments presents a serious issue in today?s society. Automatic detection and identification of such behaviour are becoming increasingly important. Modern machine learning and natural language processi... ver más
Revista: Applied Sciences