References
- Breiman, L. (2001). Random forests. Machine Learning 45:5–32.
- Cai, J., Song, F. (2008). Maximum entropy modeling with feature selection for text categorization. In: Proceedings of the 4th Asia Information Retrieval Conference on Information Retrieval Technology. Harbin, China.
- Chen, Y., Xie, J. (2008). Online consumer review: Word-of-mouth as a new element of marketing communication mix. Management Science 54(3):477–491.
- Chevalier, J., Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research. Vol. XLIII ( Aug):345–354.
- Church, K.W., Hanks, P. (1990). Word association norms, mutual information, and lexicography. Computational Linguistics 16(1/2):22–29.
- Dellarocas, C. (2003). The digitization of word of month: Promise and challenges of online feedback mechanisms. Management Science 49(10):1407–1424.
- Dellarocas, C., Wood, C. (2008). The sound of silence in online feedback: Estimating trading risks in the presence of reporting bias. Management Science 54(3):460–476.
- Freund, Y., Schapire, R. (1997). A decision-theoretic generalization of online learning and an application to boosting. Journal of Computer and System Sciences 55:119–139.
- Hastie, T., Rosset, S., Tibshirani, R., Zhu, J. (2004). The entire regularization path for the support vector machine. Journal of Machine Learning Research 5:1391–1415.
- Hastie, T., Tibshirani, R., Friedman, F. (2008). The Elements of Statistical Learning. 2nd ed. Springer.
- Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing 70(July):74–89.
- Liu, Y., Yuan, M. (2011). Reinforced multicategory support vector machines. Journal of Computational and Graphical Statistics 20(4):901–919.
- Manning, C.D., Schutze, H. (1999). Foundations of Statistical Natural Language Processing. Cambridge, MA, USA: MIT Press.
- Mitchell, T.M. (1997). Machine Learning. McGraw Hill.
- Ng, H.T., Goh, W.B., Low, K.L. (1997). Feature selection, perceptron learning, and a usability case study for text categorization. In: Proceedings of the 20th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. SIGIR '97, Philadelphia, ACM, New York. pp. 67–73.
- Park, D.H., Lee, J., Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce 11(4):125–148.
- Quinlan, J.R. (1986). Induction of decision trees. Machine Learning 1:81–106.
- Rogati, M., Yang, Y. (2002). High-performing feature selection for text classification. In: Proceedings of the Eleventh International Conference on Information and Knowledge Management
- Yan, J., Liu, N., Zhang, B., Yan, S., Chen, Z., Cheng, Q., Fan, W., Ma, W. (2005). OCFS: Optimal orthogonal centroid feature selection for text categorization. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. Salvador, Brazil.
- Yang, Y., Pedersen, J.O. (1997). A comparative study on feature selection in text categorization. In: Proceedings of the Fourteenth International Conference on Machine Learning. Nashville, Tennessee, USA. pp. 412–420.