A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Simple Semantics in Topic Detection and Tracking
Information Retrieval
Text classification and named entities for new event detection
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
Shallow parsing with conditional random fields
NAACL '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology - Volume 1
Towards automatic extraction of event and place semantics from flickr tags
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Web video topic discovery and tracking via bipartite graph reinforcement model
Proceedings of the 17th international conference on World Wide Web
Event detection from flickr data through wavelet-based spatial analysis
Proceedings of the 18th ACM conference on Information and knowledge management
Spatio-Temporal-Thematic Analysis of Citizen Sensor Data: Challenges and Experiences
WISE '09 Proceedings of the 10th International Conference on Web Information Systems Engineering
TimeML events recognition and classification: learning CRF models with semantic roles
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics
Identifying content for planned events across social media sites
Proceedings of the fifth ACM international conference on Web search and data mining
Named entity recognition in tweets: an experimental study
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
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Twitter has emerged as a great source to provide insights about upcoming planned and unplanned events of social, economic and political relevance. Big events are publicized and known in advance, but smaller, unplanned sub-events around them are not always advertised. These unplanned events may have a large localized impact. If known in advance, knowledge about events like threats, protests, demonstrations etc. or even about large flash mobs can be utilized by planners and event managers. Given the large volumes of tweets floating around at any given time, identifying relevant sub-events is a non-trivial task. In this paper, we explore machine learning techniques to identify, extract and build a map of small sub-events around a big, popular event. We use CRFs to extract event components from tweets. Events are resolved for uniqueness and compiled into a complete calendar. The model is evaluated on tweets around Olympic Games. The framework is generic enough to be adapted to other domains.