ASentiment Analysis Visualization System for the Property Industry

International Journal of Technology

Nurul Husna Mahadzir¹  Mohd Faizal Omar² 

[1] School of Quantitative Sciences, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia;School of Technology Management and Logistics, Universiti Utara Malaysia, 06010 Sintok, Kedah, Malaysia

关键词: Housing;    Property;    Sentiment analysis;    Social media;    Visualization;   

DOI  :  10.14716/ijtech.v9i8.2753

学科分类：工程和技术（综合）

来源: Universitas Indonesia

【 摘 要 】

The usage of social media platforms such as Facebook and Twitter, either by the public or by organizations, has been rapidly increasing. The decision-makers in the organizations use social media to engage with their customers since public users tend to express their opinions about certain products and services through this popular mechanism. Hence, this valuable data can be useful for marketing and business decisions. However, the main obstacle is obtaining meaningful information from these platforms due to the unstructured data they present. Sentiment analysis is seen as the best tool to analyze insights or opinions in this huge amount of data. In this article, we extract data on public opinion about property in order to understand the reason behind the imbalances of supply and demand currently faced by the property industry in Malaysia. In addition, we visualized the sentiment results in the form of a dashboard so that it may help property players to understand the public sentiments toward their housing or construction projects. 

【 授权许可】

CC BY-NC-ND