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| − | This [[Category::Paper]] is relevant to our project on detecting controversial events in Twitter.
| + | #REDIRECT [[Q._Zhao,_P._Mitra,_and_B._Chen._Temporal_and_information_flow_based_event_detection_from_social_text_streams._In_AAAI,_2007]] |
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| − | == Citation ==
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| − | Qiankun Zhao, Prasenjit Mitra, and Bi Chen. Temporal and information flow based event detection from social text streams. In Proceedings of the 22nd national conference on Artificial intelligence - Volume 2, pages 1501–1506. AAAI Press, 2007.
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| − | == Online version ==
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| − | [http://www.purdue.edu/discoverypark/vaccine/assets/pdfs/publications/pdf/Temporal%20and%20Information%20Flow%20Based.pdf Temporal and information flow based event detection from social text streams]
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| − | == Summary ==
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| − | They experimented with the [[UsesDataset::Topic Detection and Tracking]] corpus.
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| − | == Evaluation ==
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| − | == Discussion ==
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| − | == Related papers ==
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| − | There has been a lot of work on event detection.
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| − | * [[RelatedPaper::Lin_et_al_KDD_2011|Lin et al, KDD 2011]] This paper address a method to observe and track the popular events or topics that evolve over time in the communities.
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| − | * [[UsesMethod::Popular_Event_Tracking|Popular Event Tracking]] A method that take both interest and network structure into account.
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| − | * [[RelatedPaper::Automatic_Detection_and_Classification_of_Social_Events|Automatic Detection and Classification of Social Events]] This paper aims at detecting and classifying social events using Tree kernels.
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| − | == Study plan ==
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| − | * Article: Group average agglomerative clustering [http://nlp.stanford.edu/IR-book/html/htmledition/group-average-agglomerative-clustering-1.html]
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| − | * Article: Single pass clustering [http://orion.lcg.ufrj.br/Dr.Dobbs/books/book5/chap16.htm]
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