Project information

• Category: Smart City
• Project URL: Report

Social network is generally regarded as the leading cause of new interaction online together with the freedom of speech incorporated. At the same time, the development of this platform brings up the opportunity to enhance many domains' demands in understanding user behavior rapidly. This work provides insights into the application of crowdsourcing towards different places to respond on urban centralization and decentralization issues. The approach is primarily based on the Twitter data shouted by the user, then being identified in three different text analytical measurement groups. Moreover, this study will visualize the resulting data back to the intended post location as the decision-making indicator created by the users. Taken together, these findings demonstrate the possibility to collect the user's data online without passing the boundary of individual privacy. Nevertheless, the outcome provided can contribute to the prediction of smart city policy decisions in the society's initial stage.