Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Event composition operators: ECO
EiMM '09 Proceedings of the 1st ACM international workshop on Events in multimedia
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Topic sentiment analysis in twitter: a graph-based hashtag sentiment classification approach
Proceedings of the 20th ACM international conference on Information and knowledge management
Proceedings of the 2012 iConference
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This paper describes a method to identify events being vigorously discussed on social media and to present them in the form of a web-based daily magazine. Tweet texts and hyperlinked information sources, such as images and news articles, are analyzed to discover the events. The events are selected for presentation using an "interestingness factor", which combines several facets of the discussions surrounding the events. The events are correlated based on their content similarity.