1. Akritidis, L., Bozanis, P.: Improving opinionated blog retrieval effectiveness with quality measures and temporal features. World Wide Web, 1–22 (2013)
2. Amati, G., Ambrosi, E., Bianchi, M., Gaibisso, C., Gambosi, G.: Automatic construction of an opinion-term vocabulary for ad hoc retrieval. In: Proceedings of the IR research, 30th European conference on Advances in information retrieval, ECIR’08, pp 89–100. Springer-Verlag, Berlin, Heidelberg (2008)
3. 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, COLING ’10, pp. 36–44. Association for Computational Linguistics, Stroudsburg (2010)
4. Bollen, J., Mao, H., Zeng, X.J.: Twitter mood predicts the stock market. J. Comput. Sci. 2(1), 1–8 (2011)
5. Davidov, D., Tsur, O., Rappoport, A.: Enhanced sentiment learning using twitter hashtags and smileys. In: Proceedings of the 23rd International Conference on Computational Linguistics: Posters, COLING ’10, pp. 241–249. Association for Computational Linguistics, Stroudsburg (2010)