1. Barbosa, L., Feng, J.: Robust sentiment detection on twitter from biased and noisy data. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, pp. 36–44. Association for Computational Linguistics (2010)
2. Binali, H., Potdar, V., Wu, C.: A state of the art opinion mining and its application domains. In: IEEE International Conference on Industrial Technology, pp. 1–6 (February 2009)
3. Conrad, A., Wiebe, J., Hwa, R.: Recognizing arguing subjectivity and argument tags. In: Proceedings of the Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics, pp. 80–88. ACM (2012)
4. Dave, K., Lawrence, S., Pennock, D.M.: Mining the peanut gallery: opinion extraction and semantic classification of product reviews. In: Proceedings of the 12th International Conference on World Wide Web, pp. 519–528. ACM (2003)
5. Esuli, A., Sebastiani, F.: Sentiwordnet: A publicly available lexical resource for opinion mining. In: Proceedings of the 5th Conference on Language Resources and Evaluation, pp. 417–422 (2006)