Application of data mining into property industry to create an intelligent system

Abstract

The property market is slow to innovate and adopt change resulting in inconvenience to all parties

involved. This project explores the inefficiencies in the Singapore market and develops solution to

help consumers make a more informed decision and improve the overall experience.

Considerable amount of data comes from social media where Internet users are able to express

themselves with freedom in the context of various topics. Choosing a property agent to sell a

property and the knowledge of people living in an area can also affect the decision of consumers. In

this project, we aim to gather the sentiments of users on the service of property agents and

sentiments on the location of housing property and to analyse them, help consumers to gather

information and make better decisions.

Property sites are using traditional methods that require users to search by inputting text or

browsing through the property list. Information on amenities near that particular property has to be

found on other websites. In this project, the data is retrieved from the internet and together with

the property listings, displayed to users on a map. From this map, users can search for nearby

properties on a street/area with better visualization and user interaction saving the user time.

With all the above mentioned, this project aims to build an intelligent system that displays to users

properties on a map with nearby amenities and also sentiment analysis of property and property

agents reviews to help users to make a better decision.