Tackling topic general words in topic modeling

Author:

Xu Yueshen,Yin Yuyu,Yin Jianwei

Funder

Zhejiang Provincial Natural Science Foundation

China Postdoctoral Science Foundation

National Key Technology R&D Program

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference47 articles.

1. Andrzejewski, D., Zhu, X., Craven, M., 2009. Incorporating domain knowledge into topic modeling via dirichlet forest priors. In: Proceedings of International Conference on Machine Learning (ICML).pp. 25–32.

2. Arora, S., Ge, R., Halpern, Y., Mimno, D. M., Moitra, A., Sontag, D., Wu, Y., Zhu, M., 2013. A practical algorithm for topic modeling with provable guarantees. In: Proceedings of International Conference on Machine Learning (ICML).pp. 280–288.

3. A novel framework for termset selection and weighting in binary text classification;Badawi;Eng. Appl. Artif. Intell. (EAAI),2014

4. Blei, D.M., Griffiths, T.L., Jordan, M.I., Tenenbaum, J.B., 2004. Hierarchical topic models and the nested chinese restaurant process. In: Advances in Neural Information Processing Systems (NIPS).

5. Blei, D.M., McAuliffe, J.D., 2007. Supervised topic models. In: Advances in Neural Information Processing Systems (NIPS).

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