Towards Sentiment Analysis Application in Housing Projects

Nurul Husna Mahadzir, Mohd Faizal Omar, Mohd Nasrun Mohd Nawi

Abstract


In becoming a develop nation by 2020, Malaysia Government realized the need in providing affordable house to the public. Since Second Malaysia Plan, government has implemented various affordable housing projects and it continues until recent Malaysia Plan. To measure the effectiveness of the initiatives taken, public opinion is necessary. A social media platform has been seen as the most effective mechanism to get information on people’s thought and feeling towards certain issues. One of the best ways to extract emotions and thoughts from what people post in social media is through Sentiment Analysis (SA). This paper will propose a new framework that focuses on the application of sentiment analysis to assist the decision maker in understanding the real voice of the public in regard to property industry in Malaysia. The framework will consist of two components; sentiment classification at feature/aspect level and sentiment visualization to show the results of the analysis.

Keywords


Housing Projects; Sentiment Analysis; Text Mining;

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