1. B. Pang, L. Lee, S. Vaithyanathan, Thumbs up? Sentiment classification using machine learning techniques, in: Conference on Empirical Methods in Natural Language Processing, Association for Computational Linguistics, Stroudsburg, PA, USA, 2002, pp. 79–86.
2. J. Blitzer, M. Dredze, F. Pereira, Biographies, bollywood, boom-boxes and blenders: domain adaptation for sentiment classification, in: Annual Meeting of the Association of Computational Linguistics, Association for Computational Linguistics, Prague, Czech Republic, 2007, pp. 440–447.
3. S. Dasgupta, V. Ng, Mine the easy, classify the hard: a semi-supervised approach to automatic sentiment classification, in: Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, Association for Computational Linguistics, Stroudsburg, PA, USA, 2009, pp. 701–709.
4. S. Li, C.-R. Huang, G. Zhou, S.Y.M. Lee, Employing personal/impersonal views in supervised and semi-supervised sentiment classification, in: Annual Meeting of the Association for Computational Linguistics, Association for Computational Linguistics, Uppsala, Sweden, 2010, pp. 414–423.
5. M. Gamon, Sentiment classification on customer feedback data: noisy data, large feature vectors, and the role of linguistic analysis, in: International Conference on Computational Linguistics, Association for Computational Linguistics, Switzerland, 2004, pp. 841–847.