Making sense of meaning: leveraging social processes to understand media semantics
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
AUSUM: approach for unsupervised bug report summarization
Proceedings of the ACM SIGSOFT 20th International Symposium on the Foundations of Software Engineering
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This paper presents a novel social media summarization framework. Summarizing media created and shared in large scale online social networks unfolds challenging research problems. The networks exhibit heterogeneous social interactions and temporal dynamics. Our proposed framework relies on the co-presence of multiple important facets: who (users), what (concepts and media), how (actions) and when (time). First, we impose a syntactic structure of the social activity (relating users, media and concepts via specific actions) in our temporal multi-graph mining algorithm. Second, important activities along each facet are extracted as activity themes over time. Experiments on Flickr datasets demonstrate that our technique captures nontrivial evolution of media use in social networks.