Data Modeling and Case-Based Reasoning for Social Monitoring

摘要

Social Media is experiencing an ongoing significant growth worldwide. It has changed the way society and economy work. Social Media channels continuously gain importance for companies and brands in interacting with their target groups. The enormous increase of Social Media use develops its own dynamics. A short post can turn into a critical damage to organizations and assets. Thus, powerful monitoring tools and optimized processing data models are absolutely necessary. In this paper, we offer a new dynamic model of a 3-step data processing sequence: data capture, data modeling and data computing. We are using case-based reasoning for known situations and self-learning capacity for new situations. This toolbox shows interesting results in terms of data processing costs and green computing.