Customer behavior modeling is important for businesses in order to understand, attract and retain customers. It is critical that the models are able to track the dynamics of customer behavior over time. We propose FC-CSM, a Customer Segmentation Model based on a Fragmentation-Coagulation process, which can track the evolution of customer segmentation, including the splitting and merging of cust...

Social Media has frequently been leveraged for the purpose of anticipating trends. This paper presents a methodology to identify trends of consumer behavior through Semantic Filtering. The process begins by applying keyword-based filtering on a ground topic, proceeding to filter on terms related to anticipation of a purchase. Next, semantic categories are considered to filter out messages that ...