国外文本挖掘研究现状和参考文献
时间: 2023-11-12 19:08:45 浏览: 53
国外文本挖掘研究现状和参考文献:
1. Berry, M. W., & Castellanos, M. (2008). Survey of text mining: Clustering, classification, and retrieval. Springer Science & Business Media.
2. Feldman, R., & Sanger, J. (2007). The text mining handbook: Advanced approaches in analyzing unstructured data. Cambridge University Press.
3. Manning, C. D., Raghavan, P., & Schütze, H. (2008). Introduction to information retrieval. Cambridge University Press.
4. Sebastiani, F. (2002). Machine learning in automated text categorization. ACM Computing Surveys (CSUR), 34(1), 1-47.
5. Hearst, M. A. (1999). Untangling text data mining. In Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics (pp. 3-10).
6. Aggarwal, C. C., & Zhai, C. (2012). Mining text data. Springer Science & Business Media.
7. Srivastava, A. N., & Sahami, M. (2009). Text mining: Classification, clustering, and applications. CRC Press.
8. Tan, A. H., Steinbach, M., & Kumar, V. (2014). Introduction to data mining. Pearson Education.
9. Zhang, W., & Li, J. (2010). Text mining: Sentiment analysis of online reviews. Journal of Computational Information Systems, 6(6), 2022-2029.
10. Wu, X., Zhu, X., Wu, G. Q., & Ding, W. (2014). Data mining with big data. IEEE Transactions on Knowledge and Data Engineering, 26(1), 97-107.