1. Yang, Z., Duan, L., & Lai, Y. (2010). Online public opinion hotspot detection and analysis based on short text clustering using string distance. Journal of Beijing University of Technology, 36(5), 669–673.
2. Rosso, P., Errecalde, M., & Pinto, D. (2013). Analysis of short texts on the Web: introduction to special issue. Lang Resources and Evaluation, 47(1), 123–126.
3. Mo, Y., Liu, S., Liu, Y., & Cheng, X. (2012). An entropy based rule mining algorithm for filtering tweets by topics. Journal of Chinese Information Processing, 26(5), 1–6. 39.
4. Phan, X. H., Nguyen, L. M., Horiguchi, S. (2008). Learning to classify short and sparse text & web with hidden topics from large-scale data collections. In Proceedings of the 17th International Conference on World Wide Web (pp. 91–100). New York: ACM
5. Hu, J., Fang, L., Cao, Y., Zeng, H., Li, H., Yang, Q., Chen, Z. (2008). Enhancing text clustering by leveraging Wikipedia semantics. In Proceedings of the 31st ACM SIGIR (pp. 179–186). New York: ACM