Cluster-discovery of Twitter messages for event detection and trending

Journal of Computational Science - Tập 6 - Trang 47-57 - 2015
Shakira Banu Kaleel1, Abdolreza Abhari1
1Department of Computer Science, Ryerson University, Toronto, Canada

Tài liệu tham khảo

Morris, 2010, What do people ask their social networks, and why? A survey study of status message and behavior, 1739 Allan, 2000, Detections, bounds, and timelines: UMass and TDT-3, 167 Fiscus, 2002, 17 Karen, 2013 Lin, 2013, Scaling big data mining infrastructure: the Twitter experience, SIGKDD Explor. Newsl., 14, 6, 10.1145/2481244.2481247 Mishne, 2013, Fast data in the era of big data: Twitter's real-time related query suggestion architecture, 1147 Allan, 2002, 1 Yang, 1998, A study of retrospective and on-line event detection, 28 Packer, 2012, Event detection using Twitter and structured semantic query expansion, 7 Sakaki, 2010, Earthquake shakes Twitter users: real-time event detection by social sensors, 851 Petrovic, 2010, Streaming first story detection with application to Twitter, 181 Kaleel, 2013, Event detection and trending in multiple social networking sites, 5:1 2011, A conversation with Harold Camping, Prophesier of Judgment Day, New York Magazine, May Goffard, 2011 Family Radio, 2011 Twitter, 2014 Facebook, 2014 Bollen, 2011, Twitter mood predicts the stock market, J. Comput. Sci., 2, 1, 10.1016/j.jocs.2010.12.007 Choi, 2012, Predicting the present with Google trends, Econ. Rec., 88, 2, 10.1111/j.1475-4932.2012.00809.x Preis, 2013, Quantifying trading behavior in financial markets using Google Trends, Sci. Rep., 3, 10.1038/srep01684 Manning, 2008 Cutting, 1992, Scatter/gather: a cluster-based approach to browsing large document collections, 318 Brants, 2003, A system for new event detection, 330 Parikh, 2013, ET: events from tweets, 613 Sriram, 2010, Short text classification in Twitter to improve information filtering, 841 Sankaranarayanan, 2009, TwitterStand: news in tweets, 42 Ozdikis, 2012, Semantic expansion of hashtags for enhanced event detection in Twitter Ahmed, 2011, Unified analysis of streaming news, 267 Becker, 2011, Beyond trending topics: real-world event identification on Twitter Indyk, 1998, Approximate nearest neighbors: towards removing the curse of dimensionality, 604 Weber, 1998, A quantitative analysis and performance study for similarity-search methods in high-dimensional spaces, 194 Petrovic, 2012 Indyk, 1997, Locality-preserving hashing in multidimensional spaces, 618 Dasgupta, 2011, Fast locality-sensitive hashing, 1073 Slaney, 2008, Locality-sensitive hashing for finding nearest neighbors, IEEE Signal Process. Mag., 25, 128, 10.1109/MSP.2007.914237 Datar, 2004, Locality-sensitive hashing scheme based on p-stable distributions, 253 Sharifi, 2010, Experiments in microblog summarization, 49 Yardi, 2010 Naaman, 2011, Hip and trendy: characterizing emerging trends on Twitter, J. Am. Soc. Inf. Sci. Technol., 62, 902, 10.1002/asi.21489 Kwak, 2010, What is Twitter, a social network or a news media?, 591 Cvijikj, 2011, Monitoring trends on Facebook, 895 Salton, 1986 Russell, 2011 Broder, 1997, On the resemblance and containment of documents, 21 Li, 2010 Charikar, 2002, Similarity estimation techniques from rounding algorithms, 380 Ravichandran, 2005, Randomized algorithms and NLP: using locality sensitive hash function for high speed noun clustering, 622 Goodrich, 2013 Fredkin, 1960, vol. 3, 490 Kamath, 2012, Content-based crowd retrieval on the real-time web, 195 Goorha, 2010, Discovery of significant emerging trends, 57 Uden, 2013