A Sentiment Analysis Visualization System for the Property Industry
Abstract
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.