External evaluation of topic models

ADCS 2009 - Proceedings of the Fourteenth Australasian Document Computing Symposium

Volumn , Issue , 2009, Pages 11-18

  Newman, David ^a   Karimi, Sarvnaz ^a   Cavedon, Lawrence ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

Author keywords

Document similarity; Evaluation; Information retrieval; Natural language processing; Topic modeling

Indexed keywords

CO-OCCURRENCE STATISTICS; DOCUMENT SIMILARITY; EVALUATION; EXTERNAL DATA SOURCES; NATURAL LANGUAGE PROCESSING; POINTWISE MUTUAL INFORMATION; TOPIC MODEL;

INFORMATION RETRIEVAL;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 77955122471     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article

References (11)

1. D. M. Blei, A. Y. Ng, and M. I. Jordan. Latent Dirichlet allocation. Journal of Machine Learning Research, 3:993- 1022, 2003.
2. W. L. Buntine and A. Jakulin. Applying discrete PCA in data analysis. In Proceedings of the 20th Uncertainty in Artificial Intelligence Conference, pages 59-66, Banff, Canada, 2004.
3. S. Geman and D. Geman. Stochastic relaxation, Gibbs distributions, and the bayesian restoration of images. volume 6, pages 721-741, November 1984.
4. D. Grangier and S. Bengio. Inferring document similarity from hyperlinks. In Proceedings of the 14th ACM international conference on Information and knowledge management, pages 359-360, Bremen, Germany, 2005.
5. T. Griffiths and M. Steyvers. Finding scientific topics. In Proceedings of the National Academy of Sciences, volume 101, pages 5228-5235, 2004.
6. T. Griffiths and M. Steyvers. Probabilistic topic models. In Latent Semantic Analysis: A Road to Meaning, 2006.
7. F. Kaiser, H. Schwarz, and M. Jakob. Using Wikipedia-based conceptual contexts to calculate document similarity. In Proceedings of the 2009 Third International Conference on Digital Society, pages 322-327, Cancun, Mexico, 2009.
8. M. D. Lee, B. Pincombe, and M.Welsh. An empirical evaluation of models of text document similarity. In Proceedings of the 27th Annual Conference of the Cognitive Science Society, pages 1254-1259, Mahwah, NJ, 2005.
9. Q. Mei, X. Shen, and C. Zhai. Automatic labeling of multinomial topic models. In Proceedings of The 30th International Conference on Knowledge Discovery and Data Mining, pages 490-499, 2007.
10. S. Walker, S. Robertson, M. Boughanem, G. Jones, and K. Sparck Jones. Okapi at TREC-6 automatic ad hoc, VLC, routing, filtering and QSDR. In Proceedings of the 6th Text REtrieval Conference, pages 125-136, 1997.
11. H. M. Wallach, I. Murray, R. Salakhutdinov, and D. M. Mimno. Evaluation methods for topic models. In Proceedings of The 26th International Conference On Machine Learning, pages 1105-1112, Quebec, Canada, 2009.