Change of topics over time: Tracking topics by their change of meaning

KDIR 2009 - 1st International Conference on Knowledge Discovery and Information Retrieval, Proceedings

Volumn , Issue , 2009, Pages 223-228

  Heyer, Gerhard ^a   Holz, Florian ^a   Teresniak, Sven ^a  

^a UNIVERSITY OF LEIPZIG   (Germany)

Author keywords

Change of meaning; Conceptual drift; Text mining; Time sliced corpora; Topic tracking; Volatility

Indexed keywords

NEW APPROACHES; TEXT MINING; TIME SLICE; TOPIC DRIFT; TOPIC TRACKING;

INFORMATION RETRIEVAL;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 77955377359     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (10)

1. Allan, J. (2002). Introduction to topic detection and tracking, pages 1-16. Kluwer Academic Publishers, Norwell, MA, USA.
2. Allan, J., Carbonell, J., Doddington, G., Yamron, J., Yang, Y., Umass, J. A., Cmu, B. A., Cmu, D. B., Cmu, A. B., Cmu, R. B., Dragon, I. C., Darpa, G. D., Cmu, A. H., Cmu, J. L., Umass, V. L., Cmu, X. L., Dragon, S. L., Dragon, P. V. M., Umass, R. P., Cmu, T. P., Umass, J. P., and Umass, M. S. (1998). Topic detection and tracking pilot study final report. In In Proceedings of the DARPA Broadcast News Transcription and Understanding Workshop, pages 194-218.
3. Heyer, G., Quasthoff, U., and Wittig, T. (2008). Text Mining: Wissensrohstoff Text - Konzepte, Algorithmen, Ergebnisse. W3L-Verlag, 2nd edition.
4. Kleinberg, J. (2002). Bursty and hierarchical structure in streams. In KDD '02: Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 91-101, New York, NY, USA. ACM Press.
5. Kumaran, G. and Allan, J. (2004). Text classification and named entities for new event detection. In SIGIR '04: Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval, pages 297-304, New York, NY, USA. ACM.
6. Quasthoff, U. and Wolff, C. (2002). The poisson collocations measure and its application. In Workshop on Computational Approaches to Collocations, Wien, Austria.
7. Swan, R. and Allan, J. (1999). Extracting significant time varying features from text. In CIKM '99: Proceedings of the eighth international conference on Information and knowledge management, pages 38-45, New York, NY, USA. ACM.
8. Swan, R. and Allan, J. (2000). Automatic generation of overview timelines. In SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval, pages 49-56, New York, NY, USA. ACM.
9. Taylor, S. J. (2007). Introduction to asset price dynamics, volatility, and prediction. In Asset Price Dynamics, Volatility, and Prediction, Introductory Chapters. Princeton University Press.
10. Wang, X. and McCallum, A. (2006). Topics over time: a non-markov continuous-time model of topical trends. In KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 424-433, New York, NY, USA. ACM.