In recent years, governments in the world have gradually established and opened up integrated/immediate monitoring data to provide the uses and analyses for government agencies, academic communities, and research institutes, so as to provide useful information to divisions of government for decision-making of related business. Therefore, the effective application of the database provided by the platform is an important task for data scientists. This study investigates the data analyses of related Taiwan’s Particulate Matter 2.5 (PM2.5) stored in the government open data platform and analyzes the correlation of PM2.5-induced diseases, including the effects of respiratory system, cardiovascular system, central nervous system, and the doctor's perception of PM2.5 for body health. Furthermore, this study mainly uses a social listening platform, named OpView, for the analysis of community opinions related PM2.5 to diseases. The OpView platform is the current largest community listening platform in Taiwan. It can collect articles, discussions, and news from a large amount of data in the social network, and can further analyze different types of websites and their influence.