Tracking topic evolution in news environments

Proceedings - 10th IEEE Joint Conference on E-Commerce Technology and the 5th Enterprise Computing, E-Commerce and E-Services, CEC 2008 and EEE 2008

Volumn , Issue , 2008, Pages 215-220

  Viermetz, Maximilian ^a   Skubacz, Michal ^b   Seipel, Dietmar ^c   Ziegler, Cai Nicolas ^b  

^a HEINRICH HEINE UNIVERSITY   (Germany)

^b SIEMENS AG   (Germany)

^c UNIVERSITY OF WÜRZBURG   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED MACHINES; CLUSTERING TECHNIQUES; CORPORATE COMMUNICATIONS; DYNAMIC EVOLUTIONS; GLOBAL SCALE; LANGUAGE MODELLING; LONG-TERM TRENDS; MARKET ANALYSTS; NEWSGROUPS; TEMPORAL GRANULARITIES; WEB LOGS;

COMPUTATIONAL LINGUISTICS; LEARNING SYSTEMS;

ELECTRONIC COMMERCE;

EID: 63749095381     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CECandEEE.2008.112     Document Type: Conference Paper

References (14)

1. A. Aizawa. An information-theoretic perspective of tf- idf measures. Information Processing and Management, 39(1):45-65, 2003.
2. A. Dasgupta, R. Kumar, P. Raghavan, and A. Tomkins. Variable latent semantic indexing. In Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining, pages 13-21. ACM Press, 2004.
3. S. Deerwester, S. Dumais, G. Furnas, T. Landauer, and R. Harshman. Indexing by latent semantic analysis. Journal of the American Society of Information Science, 41(6):391-407, 1990.
4. T. E. Dunning. Accurate methods for the statistics of surprise and coincidence. Computational Linguistics, 19(1):61-74, 1993.
5. M. Ester, H.-P. Kriegel, J. Sander, and X. Xu. A density- based algorithm for discovering clusters in large spatial databases with noise. In Kdd, pages 226-231, 1996.
6. G. Golub and C. Reinsch. Singular value decomposition and least squares solutions. Numerische Mathematik, 14(5):403- 420, 1970.
7. J. Kleinberg. Bursty and hierarchical structures in streams. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002.
8. T. Landauer, P. Foltz, and D. Laham. An introduction to latent semantic analysis. Discource Processes, 25:259-284, 1998.
9. H. Liu and H. Motada. Feature Selection. Kluwer Academic Publishers, 1998.
10. C. Manning and H. Schütze. Foundations of Statistical Natural Language Processing. The MIT Press, 1999.
11. Q. Mei and C. X. Zhai. Discovering evolutionary theme patterns from text - an exploration of temporal text mining. In Proceedings of the eleventh ACM SIGKDD international converence on Knowledge discovery in data mining, pages 198-207. ACM Press, 2005.
12. R. Nallapati, A. Feng, F. Peng, and J. Allan. Event threading within news topics. In Proceedings of the 2004 ACM CIKM International Conference on Information and Knowledge Management, pages 446-453. ACM Press, 2004.
13. R. Papka and J. Allan. On-line new event detection using single pass clustering. In Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 37-45. ACM Press, August 1998.
14. T. Tomokiyo and M. Hurst. A language model approach to keyphrase extraction. In Proceedings of the ACL Workshop on Multiword Expressions, 2003.