国外文本挖掘研究现状和参考文献

国外文本挖掘研究现状和参考文献：

1. Manning, C. D., & Schütze, H. (1999). Foundations of statistical natural language processing. MIT press.

2. Jurafsky, D., & Martin, J. H. (2019). Speech and language processing. An introduction to natural language processing, computational linguistics, and speech recognition. Pearson.

3. Blei, D. M., Ng, A. Y., & Jordan, M. I. (2003). Latent dirichlet allocation. Journal of machine Learning research, 3(Jan), 993-1022.

4. Salton, G., & Buckley, C. (1988). Term-weighting approaches in automatic text retrieval. Information processing & management, 24(5), 513-523.

5. Pang, B., & Lee, L. (2008). Opinion mining and sentiment analysis. Foundations and trends® in information retrieval, 2(1-2), 1-135.

6. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to information retrieval. Cambridge University Press.

7. Aggarwal, C. C., & Zhai, C. (2012). Mining text data. Springer.

8. Zeng, X., & Qin, T. (2018). Deep learning for natural language processing. Synthesis Lectures on Human Language Technologies, 11(2), 1-195.

9. Wang, W. Y. (2017). A survey on deep learning in natural language processing. arXiv preprint arXiv:1708.02709.

10. Liu, B. (2012). Sentiment analysis and opinion mining. Synthesis lectures on human language technologies, 5(1), 1-167.