An automatic topic ranking approach for event detection on microblogging messages

Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

Volumn , Issue , 2011, Pages 1358-1363

  Lee, Chung Hong ^a   Chien, Tzan Feng ^a   Yang, Hsin Chang ^b  

^a NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^b NATIONAL UNIVERSITY OF KAOHSIUNG   (Taiwan)

Author keywords

ranking algorithm; social networks; text mining; topic detection

Indexed keywords

EMERGING TOPICS; EVENT DETECTION; INFORMATION OVERLOADS; MICRO-BLOG; MICROBLOGGING; NOVEL ALGORITHM; RANKING ALGORITHM; RANKING APPROACH; SHORT MESSAGE; SOCIAL NETWORK SERVICES; SOCIAL NETWORKS; TEXT MINING; TEXT STREAMS; TOPIC DETECTION;

ALGORITHMS; CYBERNETICS; INFORMATION RETRIEVAL SYSTEMS;

DATA MINING;

EID: 83755178147     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSMC.2011.6083847     Document Type: Conference Paper

References (14)

1. C.H. Lee, H.C. Yang, and T.F. Chien, "DBHTE: A novel algorithm for extracting real-time microblogging topics," in Proceedings of the ISCA 23rd International Conference on Computer Applications in Industry and Engineering, Las Vegas, USA, 2010.
2. C. H. Lee, C.H. Wu, and T.F. Chien, "BursT: A dynamic term weighting scheme for mining microblogging messages," in Proceedings of the 8th International Symposium on Neural Networks, Guilin, China, 2011.
3. H. Becker and M. Arias, "Real-time ranking with concept drift using expert advice," in Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, San Jose, California, USA, 2007.
4. J. Sankaranarayanan, H. Samet, B. E. Teitler, M. D. Lieberman, and J. Sperling, "TwitterStand: news in tweets," in Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Seattle, Washington, 2009.
5. J. M. Kleinberg, "Hubs, authorities, and communities," ACM Comput. Surv., vol. 31, p. 5, 1999.
6. D. Boyd, S. Golder, and G. Lotan, "Tweet, tweet, retweet: conversational aspects of retweeting on twitter," in Proceedings of the 2010 43rd Hawaii International Conference on System Sciences, 2010.
7. B. Suh, L. Hong, P. Pirolli, and E. H. Chi, "Want to be retweeted? Large scale analytics on factors impacting retweet in twitter network," in Proceedings of the 2010 IEEE Second International Conference on Social Computing, 2010.
8. J. Weng, E.P. Lim, J. Jiang, and Q. He, "TwitterRank: finding topic-sensitive influential twitterers," in Proceedings of the third ACM International Conference on Web Search and Data Mining, New York, USA, 2010.
9. Y. Duan, L. Jiang, T. Qin, M. Zhou, and H.Y. Shum, "An empirical study on learning to rank of tweets," in Proceedings of the 23rd International Conference on Computational Linguistics, Beijing, China, 2010.
10. M. A. Qureshi, A. Younus, M. Saeed, and N. Touheed, "Identifying and ranking topic clusters in the blogosphere," in Proceedings of the 2nd Workshop on The People's Web Meets NLP Collaboratively Constructed Semantic Resources, 2010, pp. 55-62.
11. A. Hassan, D. R. Radev, J. Cho, and A. Joshi, "Content based recommendation and summarization in the Blogosphere," in Proceedings of the Third International Conference on Weblogs and Social Media, California, USA, 2009.
12. J. Leskovec, A. Krause, C. Guestrin, C. Faloutsos, J. VanBriesen, and N. Glance, "Cost-effective outbreak detection in networks," in Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, California, USA, 2007.
13. A. Bifet, Adaptive stream mining: pattern learning and mining from evolving data dtreams.: IOS Press, 2010.
14. M. Ester, H.P. Kriegel, J. Sander, M. Wimmer, and X. Xu, "Incremental clustering for mining in a data warehousing environment," in Proceedings of the 24rd International Conference on Very Large Data Bases, 1998.