1. Agrawal, R., Rajagopalan, S., Srikant, R., Xu, Y.: Mining newsgroups using networks arising from social behavior. In: Proceedings of WWW, pp. 529–535 (2003)
2. Baccianella, S., Esuli, A., Sebastiani, F.: SentiWordNet 3.0: An enhanced lexical resource for sentiment analysis and opinion mining. In: Proceedings of the Seventh Conference on International Language Resources and Evaluation (2010),
http://www.lrec-conf.org/proceedings/lrec2010/pdf/769_Paper.pdf
(retrieved May 25, 2010)
3. Bollen, J., Pepe, A., Mao, H.: Modeling public mood and emotion: Twitter sentiment and socioeconomic phenomena. In: ICWSM 2011, Barcelona, Spain (2011),
http://arxiv.org/abs/0911.1583
(retrieved June 2, 2011)
4. Chmiel, A., Sienkiewicz, J., Thelwall, M., Paltoglou, G., Buckley, K., Kappas, A., Hołyst, J.A.: Collective emotions online and their influence on community life. PLoS ONE 6(7), e22207 (2011a)
5. Chmiel, A., Sienkiewicz, J., Paltoglou, G., Buckley, K., Thelwall, M., Holyst, J.A.: Negative emotions boost user activity at BBC forum. Physica A 390(16), 2936–2944 (2011b)