A spatial, temporal and sentiment based framework for indexing and clustering in twitter blogosphere

[1]  Donald W. Bouldin,et al.  A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  T. Vincenty DIRECT AND INVERSE SOLUTIONS OF GEODESICS ON THE ELLIPSOID WITH APPLICATION OF NESTED EQUATIONS , 1975 .

[3]  H. Sebastian Seung,et al.  Algorithms for Non-negative Matrix Factorization , 2000, NIPS.

[4]  Abdolreza Abhari,et al.  Cluster-discovery of Twitter messages for event detection and trending , 2015, J. Comput. Sci..

[5]  Jitendra Malik,et al.  Normalized cuts and image segmentation , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[6]  M. de Rijke,et al.  Adaptive Temporal Query Modeling , 2012, ECIR.

[7]  Ravi Kumar,et al.  A graph-theoretic approach to extract storylines from search results , 2004, KDD.

[8]  M. de Rijke,et al.  Incorporating Query Expansion and Quality Indicators in Searching Microblog Posts , 2011, ECIR.

[9]  Ayhan Demiriz,et al.  Fuzzy rule-based analysis of spatio-temporal ATM usage data for fraud detection and prevention , 2015, 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD).

[10]  Furu Wei,et al.  Query-sensitive mutual reinforcement chain and its application in query-oriented multi-document summarization , 2008, SIGIR '08.

[11]  Vanessa Murdock,et al.  Modeling locations with social media , 2013, Information Retrieval.

[12]  Chris H. Q. Ding,et al.  Multi-document summarization via sentence-level semantic analysis and symmetric matrix factorization , 2008, SIGIR '08.

[13]  W. Bruce Croft,et al.  Efficient indexing of repeated n-grams , 2011, WSDM '11.

[14]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[15]  Ahad Zare Ravasan,et al.  A Novel Hybrid Algorithm Based on K-Means and Evolutionary Computations for Real Time Clustering , 2014, Int. J. Data Warehous. Min..

[16]  Satoshi Morinaga,et al.  Tracking dynamics of topic trends using a finite mixture model , 2004, KDD.

[17]  Fernando Diaz,et al.  Temporal profiles of queries , 2007, TOIS.

[18]  Andrew Trotman,et al.  Document Clustering Evaluation: Divergence from a Random Baseline , 2012, ArXiv.

[19]  Kazufumi Watanabe,et al.  Jasmine: a real-time local-event detection system based on geolocation information propagated to microblogs , 2011, CIKM '11.

[20]  Michael Gertz,et al.  Temporal Information Retrieval: Challenges and Opportunities , 2011, TWAW.

[21]  Luis Gravano,et al.  Answering General Time-Sensitive Queries , 2012, IEEE Trans. Knowl. Data Eng..

[22]  James Allan,et al.  Introduction to topic detection and tracking , 2002 .

[23]  Mostafa Keikha,et al.  Time-based relevance models , 2011, SIGIR.

[24]  Miles Efron,et al.  Estimation methods for ranking recent information , 2011, SIGIR.

[25]  Dilip Kumar Sharma,et al.  Modified LexRank for Tweet Summarization , 2016, Int. J. Rough Sets Data Anal..

[26]  W. Bruce Croft,et al.  Relevance-Based Language Models , 2001, SIGIR '01.

[27]  Takahiro Hara,et al.  Detecting Local Events by Analyzing Spatiotemporal Locality of Tweets , 2013, 2013 27th International Conference on Advanced Information Networking and Applications Workshops.

[28]  Hosung Park,et al.  What is Twitter, a social network or a news media? , 2010, WWW '10.

[29]  Tao Li,et al.  MSSF: a multi-document summarization framework based on submodularity , 2011, SIGIR.

[30]  Pan Su,et al.  A hierarchical fuzzy cluster ensemble approach and its application to big data clustering , 2015, J. Intell. Fuzzy Syst..

[31]  Mohamed Morchid,et al.  An Author-Topic based Approach to Cluster Tweets and Mine their Location☆ , 2015 .

[32]  Andrew W. Moore,et al.  X-means: Extending K-means with Efficient Estimation of the Number of Clusters , 2000, ICML.

[33]  Danushka Bollegala,et al.  Multi-tweet Summarization of Real-Time Events , 2013, 2013 International Conference on Social Computing.

[34]  Keiichi Tamura,et al.  Identifying bursty areas of emergency topics in geotagged tweets using density-based spatiotemporal clustering algorithm , 2014, 2014 IEEE 7th International Workshop on Computational Intelligence and Applications (IWCIA).

[35]  Emmanouel A. Varvarigos,et al.  Event Detection in Twitter Microblogging , 2016, IEEE Transactions on Cybernetics.

[36]  Jon M. Kleinberg,et al.  Bursty and Hierarchical Structure in Streams , 2002, Data Mining and Knowledge Discovery.

[37]  Fernando Diaz,et al.  Using temporal profiles of queries for precision prediction , 2004, SIGIR '04.

[38]  W. Bruce Croft,et al.  A Markov random field model for term dependencies , 2005, SIGIR '05.

[39]  W. Bruce Croft,et al.  Time-based language models , 2003, CIKM '03.

[40]  Brendan T. O'Connor,et al.  A Latent Variable Model for Geographic Lexical Variation , 2010, EMNLP.

[41]  David Hawking,et al.  Reordering an index to speed query processing without loss of effectiveness , 2012, ADCS.

[42]  Eduard H. Hovy,et al.  Structured Event Retrieval over Microblog Archives , 2012, NAACL.

[43]  James Allan,et al.  Relevance models for topic detection and tracking , 2002 .