Mining unstructured social streams : cohesion, context and evolution
Journal: cIRcle (University of British Columbia)
Year: 2017

As social websites like Twitter greatly influence people's digital life, unstructured social streams become prevalent, which are fast surging textual post streams without formal structure or schema between posts or inside the post content. Modeling and mining unstructured social streams in Twitter become a challenging and fundamental problem in social web analysis, which leads to numerous applications, e.g., recommending social feeds like "what's happening right now?" or "what are related storie