Opinion Analysis on Objects in Social Networks (2016–2018)

Social networks are fast becoming an important platform for understanding social opinions about events, organisations, products or services. An object in social networks refers to anything people talk about. This project aims to design and implement new social media mining algorithms to analyse the opinions that people express about such objects in terms of who, what, when and where. Through an interactive exploration of social opinion analysis, people can make better decisions. In order to capture people's opinions such as feelings, attitudes, and judgments, we will integrate different types of social media data such as text, spatial-temporal data of users, and structure of social networks to analyse opinions effectively and efficiently.
Grant type:
ARC Discovery Projects
  • Professor
    School of Information Technology and Electrical Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council