Streaming trend detection in Twitter

International Journal of Web Based Communities

Volumn 9, Issue 1, 2013, Pages 122-139

  Benhardus, James ^a   Kalita, Jugal ^b  

^a UNIVERSITY OF MINNESOTA   (United States)

^b University of Colorado Colorado Springs   (United States)

Author keywords

Human language processing; Microblogs; Tf idf; Trend detection

Indexed keywords

INVERSE PROBLEMS; TEXT PROCESSING;

DATA COLLECTION; HUMAN LANGUAGE PROCESSING; MICROBLOGS; ON-LINE COMMUNITIES; TERM FREQUENCY-INVERSE DOCUMENT FREQUENCIES; TF-IDF; TREND DETECTION; TRENDING TOPICS;

SOCIAL NETWORKING (ONLINE);

EID: 84872108398     PISSN: 14778394     EISSN: 17418216     Source Type: Journal    
DOI: 10.1504/IJWBC.2013.051298     Document Type: Article

References (27)

1. Allan, J., Papka, R. and Lavrenko, V. (1998) 'On-line New Event Detection and Tracking', in Proceedings of ACM SIGR, pp.37-45.
2. Cheong, M. and Lee, V. (2009) 'Integrating web-based intelligence retrieval and decision-making from the Twitter trends knowledge base', in Proceedings of CIKM 2009 Co-Located Workshops: SWSM 2009, pp.1-8.
3. Finin, T., Murnane, W., Karandikar, A., Keller, N., Martineau, J. and Dredze, M. (2010) 'Annotating named entities in Twitter data with crowdsourcing', in Proc. of the NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon's Mechanical Turk, pp.80-88.
4. Gimpel, K., Schneider, N., O'Connor, B., Das, D., Mills, D., Eisenstein, J., Heilman, M., Yogatama, D., Flanigan, J. and Smith, N.A. (2010) 'Part-of-speech tagging for Twitter: annotation, features, and experiments', Technical Report, Carnegie Mellon University.
5. Glance, N., Hurst, M. and Tomokiyo, T. (2004) 'Blogpulse: automated trend discovery for weblogs', in WWW 2004 Workshop on the Weblogging Ecosystem: Aggregation, Analysis, and Dynamics.
6. Gruhl, D., Guha, R., Liben-Nowell, D. and Tomkins, A. (2004) 'Information diffusion through blogspace', in Proceedings of the 13th International Conference on the World Wide Web, pp.491-501.
7. Han, B. and Baldwin, T. (2011) 'Lexical normalizations of short text messages: making sense a Twitter', in Proc. of ACL-HLT.
8. Hiemstra, D. (2000) 'A probabilistic justification for using tf×idf term weighting in information retrieval', International Journal on Digital Libraries, Vol. 3, No. 2, pp.131-139.
9. Inouye, D. and Kalita, J.K. (2011) Comparing Twitter Summarization Algorithms, IEEE SocialCom, October, Massachusetts Institute of Technology, Boston.
10. Kaufmann, J. and Kalita, J. (2011) 'Syntactic normalization of Twitter messages', International Conference on Natural Language Processing (ICON 2011), Kharagpur, India, December, pp.149-158.
11. Kireyev, K., Palen, L. and Anderson, K. (2009) 'Applications of topics models to analysis of disaster-related Twitter data', in NIPS Workshop on Applications for Topic Models: Text and Beyond.
12. Liu, X., Wei, F., Zhang, S. and Zhou, M. (2011) 'Recognising named entities', in Proc. of ACL-HLT.
13. Lui, F., Weng, F., Wang, B. and Lui, Y. (2011) 'Insertion, deletion, or substitution? Normalizing text messages without pre-categorization nor supervision', in the Proc. of ACL-HLT.
14. Manku, G. and Motwani, R. (2002) 'Approximate frequency counts over data streams', in Proceedings of the 28th VLDB Conference, Hong Kong, China.
15. Nallapati, R., Feng, A., Peng, F. and Allan, J. (2004) 'Event threading within news topics', in Proceedings of the Thirteenth ACM Conference on Information and Knowledge Management, pp.446-453.
16. Perera, R., Anand, S., Subbalakshmi, P. and Chandramouli, R. (2010) 'Twitter analytics: architecture, tools and analysis', Military Communications Conference, MILCOM 2010, pp.2186-2191.
17. Petrovic, S., Osborne, M. and Lavrenko, V. (2010a) 'Streaming first story detection with application to Twitter', in Proceedings of NAACL.
18. Petrovic, S., Osborne, M. and Lavrenko, V. (2010b) 'The Edinburgh Twitter Corpus', in Proceedings of NAACL Workshop on Social Media.
19. Sakaki, T., Okazaki, M. and Matsuo, Y. (2010) 'Earthquake Shakes Twitter users: real-time event detection by social sensors', in WWW2010.
20. Salton, G. and Buckley, C. (1988) 'Term-weighting approaches in automatic text retrieval', Information Processing and Management, Vol. 24, No. 5, pp.513-523.
21. Shaparenko, B., Caruana, R., Gehrke, J. and Joachims, T. (2005) 'Identifying temporal patterns and key players in document collections', in Proceedings of the IEEE ICDM Workshop on Temporal Data Mining: Algorithms, Theory, and Applications (TDM-05), pp.165-174.
22. Sharifi, B., Hutton, M. and Kalita, J. (2010a) 'Experiments in microblog summarization', in NAACL-HLT 2010, Los Angeles, pp.685-688.
23. Sharifi, B., Hutton, M-A. and Kalita, J. (2010b) 'Automatic summarization of Twitter topics, in algorithms in applications', in Utpal Sharma and Dhruba K. Bhattacharyya (Eds.), pp.121-128, Narosa, Delhi, India, ISBN 978-81-8487-082-4.
24. Sharifi, B., Hutton, M-A. and Kalita, J. (2010c) 'Experiments in microblog summarization', Second IEEE International Conference on Social Computing (SocialCom 2010), Minneapolis, August, pp.49-56.
25. Wilbur, W.J. and Sirotkin, K. (1991) 'The automatic identification of stop words', Journal of Information Science, Vol. 18, No. 1, pp.45-55.
26. Wilbur, W.J. and Yang, Y. (1996) 'An analysis of statistical term strength and its use in the indexing and retrieval of molecular biology texts', Computers in Biology and Medicine, Vol. 26, No. 3, pp.209-222.
27. Yang, Y., Pierce, T. and Corbonell, J. (1998) 'A study on retrospective and on-line event detection', in Proceedings of the 21st ACM SIGR.