Efficient temporal mining of micro-blog texts and its application to event discovery

Data Mining and Knowledge Discovery

Volumn 30, Issue 2, 2016, Pages 372-402

  Stilo, Giovanni ^a   Velardi, Paola ^a  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

Author keywords

Event detection; Microblog analysis; Symbolic Aggregate ApproXimation; Temporal mining

Indexed keywords

AGGREGATES; APPROXIMATION ALGORITHMS; INTERNET; SOCIAL NETWORKING (ONLINE);

EVENT DETECTION; EVENT DISCOVERIES; ITS APPLICATIONS; MICRO-BLOG; SYMBOLIC AGGREGATE APPROXIMATION; TEMPORAL APPROACH; TEMPORAL MININGS; TEMPORAL WINDOWS;

QUALITY CONTROL;

EID: 84958034257     PISSN: 13845810     EISSN: 1573756X     Source Type: Journal    
DOI: 10.1007/s10618-015-0412-3     Document Type: Article

References (34)

1. Blei DM, Ng AY, Jordan MI (2003) Latent Dirichlet allocation. J. Mach. Learn. Res. 3:993–1022
2. Chae J, Thom D, Bosch H, Jang Y, Maciejewski R, Ebert D, Ertl T (2013) Spatiotemporal social media analytics for abnormal event detection and examination using seasonal-trend decomposition. IEEE symposium on visual analytics science and technology, Seattle
3. Cha M, Haddadi H, Benvenuto F, Gummadi K (2010) Measuring user influence in twitter: the million followers fallacy. In: Proceedings of conference on artificial intelligence AAAI
4. Cheng T, Wicks T (2014) Event detection using Twitter: a spatio-temporal approach. PLoS One 9(6):e97807. doi:10.1371/journal.pone.0097807
5. Dao Q, Jiang J, Zhu F, Lim WP (2012) Finding bursty topics from microblogs. In: Proceedings of conference association of computational linguistics ACL 2012
6. Dou W, Wang X, Ribarsky W, Zhou M (2012) Event detection in social media data. In: IEEE VisWeek workshop on interactive visual text analytics. Seattle, WA
7. Dredze M (2012) How social media will change public health. IEEE Intell Syst 27(4):81–84. doi:10.1109/MIS.2012.76
8. Hong L, Davison B (2010) Empirical study of topic modeling in twitter. In: Proceedings of the first workshop on social media analytics, pp. 80–88. ACM
9. Hong L, Dom B, Gurumurthy S, Tsioutsioulikis K (2011) Time-dependent topic model for multiple text streams. In: ACM conference on knowledge discovery and data mining KDD 2011, San Diego
10. Huang B, Yang Y, Mahmood A, Wang H (2012) Microblog topic detection based on LDA model and single-pass clustering RSCTC 2012, LNAI 7413, pp. 166–171
11. Ifrim G, Shi B, Brigadir I (2014) Event detection in Twitter using aggressive filtering and hierarchical tweet clustering proceedings of SNOW-WWW workshop, Korea
12. Jain A (2010) Data clustering: 50 years beyond K-means. Patt Recogn Lett 31:651–666
13. Keogh E, Chakrabarti K, Pazzani M (2001) Locally adaptive dimensionality reduction for indexing large time series databases. In: Proceedings Of ACM special interest group on management of data SIGMOD, pp. 151–162
14. Kovacs F, Legany C, Babos A (2005) Cluster validity measurement techniques. In: Proceedings of 6th international symposium of Hungarian researchers on computational intelligence, Budapest
15. Lee R, Sumiya K (2010) Measuring geographical regularities of crowd behaviors for twitter-based geo-social event detection. Proceedings of the 2nd ACM international workshop on location based social networks SIGSPATIAL, LBSN ’10. ACM, New York, pp. 1–10
16. Lehmann J, Goncalves B, Ramasco JJ, Cattuto C (2012) Dynamical classes of collective attention in Twitter. Proceedings of World Wide Web Conference WWW2012
17. Lin J, Keogh E, Li W, Lonardi S (2007) Experiencing SAX: a novel symbolic representation of time series. Data Mining Knowl Discov 15(2):107–144
18. Lin J, Khade R, Li Y (2012) Rotation-invariant similarity in time series using bag-of-patterns representation. J Intell Inf Syst 39:287–315
19. Li C, Sun A, Datta A (2012) Twevent: segment-based event detection from tweets. In: Proceedings of ACM international conference on information and knowledge management CIKM
20. Maynard D, Funk A (2012) Challenges in developing opinion mining tools for social media. In: Proceedings Of @NLP cann u tag #usergenartedcontent? Workshop at LREC 2012, Istanbul
21. McMinn A, Moshfeghi Y, Jose JM (2013) Building a large scale corpus for evaluating event detection in twitter, ACM international conference on information and knowledge management CIKM’13, San Francisco
22. Mei Q, Zhai C (2005) Discovering evolutionary theme patterns from text—an exploration of temporal text mining. In: Proceedings of conference of knowledge discovery and data mining KDD’05, Chigago
23. Oncina J, Garcıa P (1992) Inferring regular languages in polynomial updated time. In: 4th Spanish symposium on pattern recognition and image analysis, MPAI. vol. 1. World Scientific, pp. 49–61
24. Petrovic S, Osborne M, Lavrenko V (2010) Streaming first story detection with application to Twitter. In: Proceedings of national American conference of the association of computational linguistics NAACL
25. Petrovic S, Osborne M, Mc Creadie R (2013) Can Twitter replace Newswire for breaking news?. In: Proceedings of the 7th international AAAI conference on weblogs and social media, ICWSM
26. Pohl D, Bouchachia A, Hellwagner H (2012) Automatic sub-event detection in Emergency management using social media (2012), WWW2012-SWDM’12 Workshop, Lyon
27. Popescu AM, Pennacchiotti M, Paranjpe D (2011) Extracting events and event descriptions from twitter. In: Worls Wide Web Conference WWW2011, pp. 105–106, 2011
28. Rui L, Kin L, Ravi K, Kevin C (2012) TEDAS: a Twitter-based event detection and analysis system. In: IEEE 28th international conference on data engineering (ICDE), pp. 1273–1276
29. Wang X, Zhu F, Jing J, Li S (2013) Real time event detection in Twitter, conference on web age information management WAIM, Spinger
30. Weng J, Lim E, Jiang J, He Q (2010) Twitterrank: finding topic-sensitive influential twitterers. In: Proceedings of the third ACM international conference on Web Search and data mining WSDM, ACM, pp. 261–270
31. Weng J, Yao Y, Leonardi E, Lee B (2011) Event detection in Twitter. In: International AAAI conference on weblogs and social media ICWSM
32. Xie W, Zhu F, Jang J, Lim E, Wang K (2013) TopicSketch: real-time bursty topic detection from Twitter, IEEE 13th international conference on data mining (ICDM)
33. Yang J, Leskovec J (2011) Patterns of temporal variation in online media. In Proceedings of the fourth ACM international conference on web search and data mining (WSDM), pp. 177–186
34. Yan X, Guo J, Lan Y, Cheng X (2013) A biterm topic model for short texts. In: World Wide Web conference WWW 2013, Rio de Janeiro