Text Modeling Using Multinomial Scaled Dirichlet Distributions-Reference-Cited by-同舟云学术

Text Modeling Using Multinomial Scaled Dirichlet Distributions

Published:2018 Issue: Volume: Page:69-80
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
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Author:

Zamzami Nuha,Bouguila Nizar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-92058-0_7

Reference23 articles.

1. Cerchiello, P., Giudici, P.: Dirichlet compound multinomials statistical models. Appl. Math. 3(12), 2089–2097 (2012)

2. Aggarwal, C.C., Zhai, C.: An introduction to text mining. In: Aggarwal, C., Zhai, C. (eds.) Mining Text Data, pp. 1–10. Springer, Boston (2012). https://doi.org/10.1007/978-1-4614-3223-4_1

3. Sebastiani, F.: Machine learning in automated text categorization. ACM Comput. Surv. (CSUR) 34(1), 1–47 (2002)

4. McCallum, A., Nigam, K.: A comparison of event models for Naive Bayes text classification. In: Proceedings of the AAAI-98 Workshop on Learning for Text Categorization, vol. 752, pp. 41–48. Citeseer (1998)

5. Church, K.W., Gale, W.A.: Poisson mixtures. Nat. Lang. Eng. 1(2), 163–190 (1995)

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