Multi-scale characterization of social network dynamics in the blogosphere
Proceedings of the 17th ACM conference on Information and knowledge management
Learning document aboutness from implicit user feedback and document structure
Proceedings of the 18th ACM conference on Information and knowledge management
Detecting controversial events from twitter
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Summarizing sporting events using twitter
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Open domain event extraction from twitter
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Social event detection on twitter
ICWE'12 Proceedings of the 12th international conference on Web Engineering
Predicting responses to microblog posts
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
Twevent: segment-based event detection from tweets
Proceedings of the 21st ACM international conference on Information and knowledge management
Collaboratively built semi-structured content and Artificial Intelligence: The story so far
Artificial Intelligence
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
Proceedings of the 2013 international conference on Intelligent user interfaces
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Learning from the crowd: an evolutionary mutual reinforcement model for analyzing events
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Opinion Bias Detection with Social Preference Learning in Social Data
International Journal on Semantic Web & Information Systems
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This paper describes methods for automatically detecting events involving known entities from Twitter and understanding both the events as well as the audience reaction to them. We show that NLP techniques can be used to extract events, their main actors and the audience reactions with encouraging results.